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  • 1.
    de los Rios Pérez, Daniel A.
    et al.
    Jönköping University, Internationella Handelshögskolan, IHH, Företagsekonomi. Jönköping University, Internationella Handelshögskolan, IHH, Media, Management and Transformation Centre (MMTC).
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Linnéusson, Gary
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Pardillo-Baez, Yinef
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Exploring the manufacturing reshoring decision-making process using system dynamics2022Inngår i: SPS2022: Proceedings of the 10th Swedish production symposium / [ed] A. H. C. Ng, A. Syberfelt, D. Högberg & M. Holm, Amsterdam: IOS Press, 2022, s. 380-391Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reshoring manufacturing is a strategic decision because of its cost, implications, and complexity. Existing models have largely focused on cost aspects in reshoring decisions and are considered limited in assisting practitioners in the reshoring decision-making process. Variables like cost and quality have been the most important, whereas environment and sustainability seem not a priority, arguing for the myopic nature of these decisions. Therefore, this study employs system dynamics (SD) to expand practitioners’ mental models for the reshoring decision-making process. To do so, first, variables and heuristics are retrieved from the literature. Next, an industry expert is interviewed to have a practitioner’s input. Finally, a descriptive SD model is built by connecting variables and heuristics. The findings indicate that the behavior of the variables in reshoring decisions is dynamic over time. Furthermore, the variables are inter-linked, resulting in non-linear, multi-caused reshoring decisions. The presented SD model allows incorporating the variables that are sometimes difficult to quantify and provides a holistic view of the variables, their relationships, complexities, and the dynamics involved in the reshoring decision-making process. This study contributes to reshoring literature by using SD perspective in the reshoring decision-making process and proposing an SD model for reshoring decision-making. This study assists practitioners in expanding their mental models regarding the reshoring decision-making process. It is further argued that the proposed SD model may work as a generic steppingstone to further develop company-specific feedback-oriented models to support in their reshoring decision-making processes and to support future research on the topic.

  • 2.
    Hilletofth, Per
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Fuzzy logic in a reshoring decision-making context2019Inngår i: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper investigates the feasibility of using fuzzy logic for reshoring decision-making. To achieve this a fuzzy logic system for reshoring decision-making was implemented. The system was configured in two different ways to cover the two main fuzzy logic modeling approaches and sixteen fuzzy inference settings were used in each configuration. The research shows that fuzzy logic is a feasible method for reshoring decision-making. The reduced rule base configuration was more accurate than the complete rule base configuration. However, the reduced rule base also generated more conflicts in particular settings. Among all the fuzzy inference settings used in this research, one of the settings outperformed the others. With regard to the particular inference methods, the research show that maximum is the preferred aggregation method while middle of maximum is the preferred defuzzification method.

  • 3.
    Hilletofth, Per
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Department of Industrial Engineering and Management, University of Gävle, Sweden.
    Sequeira, Movin
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Adlemo, Anders
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik.
    Three novel fuzzy logic concepts applied to reshoring decision-making2019Inngår i: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, s. 133-143Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This paper investigates the possibility of increasing the interpretability of fuzzy rules and reducing the complexity when designing fuzzy rules. To achieve this, three novel fuzzy logic concepts (i.e., relative linguistic labels, high-level rules and linguistic variable weights) were conceived and implemented in a fuzzy logic system for reshoring decision-making. The introduced concepts increase the interpretability of fuzzy rules and reduce the complexity when designing fuzzy rules while still providing accurate results.

    Fulltekst (pdf)
    Full-text
  • 4.
    Hilletofth, Per
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Tate, W.
    Feasibility of fuzzy logic in reshoring decision makingManuskript (preprint) (Annet vitenskapelig)
  • 5.
    Hilletofth, Per
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Tate, Wendy
    Department of Supply Chain Management, College of Business Administration, University of Tennessee, Knoxville, TN, United States.
    Fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions2021Inngår i: Industrial management & data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 121, nr 5, s. 965-992Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Purpose: This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

    Design/methodology/approach: Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

    Findings: The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

    Research limitations/implications: The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

    Practical implications: The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

    Originality/value: There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

  • 6.
    Neramballi, Abhijna
    et al.
    Högskolan i Jönköping, Tekniska Högskolan.
    Sequeira, Movin
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Industriell organisation och produktion.
    Rydell, Martin
    Högskolan i Jönköping, Tekniska Högskolan.
    Vestin, Alexander
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Industriell organisation och produktion.
    Ibarra, Maria
    Högskolan i Jönköping, Tekniska Högskolan.
    A comprehensive literature review of green supply chain management2017Inngår i: Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE’17), Avestia Publishing, 2017, s. 1-8Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In a competitive market, organizations expand their supply chain on a global scale. Pressure from customers, stakeholders, legislation and environmental organizations have pushed companies to be more considerate of the environmental impacts of their supply chain. This development has put focus on sustainability within supply chains, leading to the rise of Green Supply Chain Management (GSCM). The purpose of this research is to create a conceptual model to present the vastly varied literature within the area of GSCM in a structured way, in order to promote environmental and in turn, overall supply chain performance. The research methodology includes a literature review using 125 peer-reviewed journal articles from 2013 to 2016 published in 19 journals. Out of the 125, 10 journalarticles were selected based on their focus in regard to the subject. The articles were chosen to attain a vantage point in view of critical factors within environmentally sustainable supply chains with a focus on optimizing performance. This paper contributes to theory by presenting a conceptual model for optimizing performance in green supply chains. Drivers, which promote Green Supply Chain (GSC) are classified as re-active and pro-active, and the main methods used for optimizing performance are concluded to be collaboration, metrics to monitor performance and practices such as green purchasing, ecodesign, reverse logistics and legislation. The review may be of use to both academics and companies as it outlines proven ways to implement green supply chain with high performance.

    Fulltekst (pdf)
    Fulltext
  • 7.
    Pardillo Baez, Yinef
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Hilletofth, Per
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Andersson, Roy
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Local Distribution of Organic Food: A Review and Research Agenda2019Inngår i: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    There has been an increasing consumer demand for local and organic food as they are considered to be more sustainable, ecological and healthier. The ‘conventional’ long food distribution system is not able to fulfill the current needs. Consequently, short distribution systems for local and organic food have been gaining popularity that is not only sustainable but also contribute to food security and satisfies local consumer demand. Alternative food networks (AFNs) address these concerns. They have emerged as a food provisioning system linked with reciprocal ties that promote a sustainable and civil economy, environment, biodiversity and respect for farming tradition. However, the AFNs are facing a challenge to maximize the distribution of local and organic products in the long term. The purpose of the paper is to make a review of the existing short food distribution systems for local and organic food and propose a research agenda. In order to achieve this, a literature review is conducted and different food distribution channels within AFNs are studied. The challenges for each food distribution channel are identified and then compared to ‘conventional’ distribution systems. As a main finding of the study is presented a framework with the main challenges of the existing short food distribution channels within AFNs. This gives the general criteria to consider while designing a short food distribution system that closely connects consumers and farmers of local and organic food. The policy implication is to create favorable conditions to encourage short food distribution systems in the long term.

  • 8.
    Pardillo-Baez, Yinef
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Bäckstrand, Jenny
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Alternative distribution channels in the agri-food supply chain: A case study of REKO-rings in Sweden2024Konferansepaper (Fagfellevurdert)
  • 9.
    Pardillo-Baez, Yinef
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Jonkoping Univ, Sch Engn, Dept Supply Chain & Operat Management, S-55318 Jonkoping, Sweden..
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Jonkoping Univ, Sch Engn, Dept Ind Prod Dev Prod & Design, S-55318 Jonkoping, Sweden..
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jonkoping Univ, Sch Engn, Dept Ind Prod Dev Prod & Design, S-55318 Jonkoping, Sweden.;Univ Gavle, Dept Ind Engn & Management, SE-80176 Gavle, Sweden..
    Local and Organic Food Distribution Systems: Towards a Future Agenda2020Inngår i: Operations and Supply Chain Management, ISSN 1979-3561, Vol. 13, nr 4, s. 336-348Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    There has been an increasing consumer demand for local and organic food as they are considered to be more sustainable, ecological, and healthier. The 'conventional' long food distribution system is not sufficient to fulfill the current needs. Consequently, short distribution systems for local and organic food have been gaining popularity, which is not only sustainable but also contributes to food security and satisfies local consumer demand. One such short distribution systems are Alternative Food Networks (AFNs). The AFNs have emerged as a promising provisioning system for local and organic food that promotes economical, environmental, and social sustainability and respect for farming tradition. However, the AFNs are facing challenges in increasing the distribution of local and organic food in the long term. The purpose of the paper is to make a review of the existing short food distribution systems for local and organic food and also to propose a research agenda. In order to achieve this, a literature review is conducted and different food distribution channels within AFNs are studied. The challenges for each food distribution channel are identified and then compared to 'conventional' distribution systems. The main finding of the study is a framework of the main challenges of short food distribution channels within AFNs. The practical implication is generic criteria to consider while designing a short food distribution system that closely connects consumers and farmers of local and organic food. The policy implication is to create favorable conditions to encourage short food distribution systems in the long term.

  • 10.
    Pardillo-Baez, Yinef
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Machado, Carla G.
    Jönköping University, Internationella Handelshögskolan, IHH, Företagsekonomi. Jönköping University, Internationella Handelshögskolan, IHH, Centre for Family Entrepreneurship and Ownership (CeFEO). Jönköping University, Internationella Handelshögskolan, IHH, Media, Management and Transformation Centre (MMTC).
    Levinsohn, Duncan
    Jönköping University, Internationella Handelshögskolan, IHH, Företagsekonomi. Jönköping University, Internationella Handelshögskolan, IHH, Centre for Family Entrepreneurship and Ownership (CeFEO). Jönköping University, Internationella Handelshögskolan, IHH, Media, Management and Transformation Centre (MMTC).
    Strategies for sustainable alternative food networks in uncertain times2022Inngår i: 9th International EurOMA Sustainable Operations and Supply Chain Forum: Proceedings, Zagreb, Croatia, 22nd to 23rd March, 2022 / [ed] Jasna Prester, Zagreb: University of Zagreb, Faculty of Economics and Business , 2022, s. 233-242Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The traditional food supply chains are vulnerable to external shocks, and this has been observable during the pandemic. Alternative food networks (AFNs) is seen as a potentially viable alternative to traditional food supply chains. AFNs encompass practices related to local food supply, involve few actors and promote sustainability. The purpose of this research is to identify strategies for sustainable AFNs, that enable growth and resilience during uncertain times. To achieve the purpose, the SCORE (Strengths, Challenges, Opportunities, Responses, Effectiveness) method is investigated. The main findings include an up-to-date overview of the strengths, challenges, opportunities, responses and effectiveness of AFNs in uncertain environments.

  • 11.
    Sansone, Cinzia
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Critical Operations Capabilities and Reshoring Drivers in a High-Cost Environment2021Inngår i: Transdisciplinary Engineering for Resilience: Responding to System Disruptions: Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering (TE2021) / [ed] L. Newnes, S. Lattanzio, B. R. Moser, J. Stjepandić & N. Wognum, Amsterdam: IOS Press, 2021, Vol. 16, s. 263-271Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reshoring of manufacturing to high-cost environments has been gaining attention. Several drivers are usually involved in the reshoring process. This process also requires manufacturing companies to assess their capabilities in relationship to the reshoring drivers. However, the connection between the reshoring drivers and the capabilities that the manufacturing companies have in high-cost environments has received little attention. The purpose of this study is to investigate the connection between the reshoring drivers and critical capabilities, through a transdisciplinary approach. This study was conducted through a literature review. The first step included the investigation of existing literature related to operations capabilities. The second step included the investigation of existing literature related to reshoring drivers. The third step included an investigation of the link between the critical operations capabilities and the reshoring drivers derived from the literature. Both sets of critical operations capabilities and reshoring drivers were linked based on their respective definitions. The findings revealed that there is a connection between operations capabilities and reshoring drivers. This study contributes to the development of both reshoring and operations capabilities research streams, and to practice by identifying the specific operations capabilities that can drive reshoring. 

  • 12.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Decision support for multi-criteria evaluation of manufacturing reshoring decisions2023Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Reshoring decisions in the manufacturing sector have received increasing attention due to their potential to improve overall quality, flexibility, or reduce risk. Contemporary events such as the pandemic and the supply crisis have made manufacturing reshoring decisions a timely and important topic to study. Particularly, the decision support deserves attention as there is limited knowledge on tools for reshoring decisions. The purpose of this study is to investigate the feasibility of decision support for reshoring decisions. The purpose is addressed through three research questions (RQ). The first question (RQ1) is “What criteria should be considered in evaluating a manufacturing reshoring decision?” and should guide companies in identifying factors in a reshoring decision. The second one (RQ2) is “How do decision-makers reason with respect to criteria in manufacturing reshoring decisions?” and describes the importance of the identified criteria that come into play during the decision. The third one (RQ3) is “How can the criteria be modeled in decision-support tools for evaluating manufacturing reshoring decisions?” and explores the feasibility of decision support. The research methods involve systematic literature review, multiple case study, modeling, and archival research. The findings show that reshoring is a multi-criteria decision with cost, quality, and delivery time criteria are considered to be more important (high weight) than sustainability criteria (low weight). The reasoning is manifested by inference rules pertaining to the important criteria. Multi-criteria decision-making techniques such as fuzzy inference, AHP, fuzzy-AHP and fuzzy-TOPSIS are feasible for evaluating manufacturing reshoring decisions. While these techniques rely on decision-makers’ ability to specify weights and rules, rule mining is used to extract rules from large datasets. This research contributes through increased knowledge regarding the criteria, reasoning, and modeling of reshoring decisions. Furthermore, the research extrapolates on the theories that are required to move forward when investigating this topic. For practitioners, this research develops tools that can be used in different stages of the decision-making process. For society, the support tools mean making rational decisions on reshoring rather than emotional or politically motivated ones.

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  • 13.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Developing decision-support tools for evaluation of manufacturing reshoring decisions2020Licentiatavhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    During last three decades, companies have offshored their manufacturing activities across international borders in order to pursue lower manufacturing costs. Despite having accomplished their purpose, companies have also suffered from issues, especially poor quality of products and a poor response to customer demand. Therefore, companies consider relocating some of the manufacturing activities back to the home country, a process that is known as manufacturing reshoring. There is paucity of scholarly attention on how manufacturing reshoring decisions are evaluated and supported. Therefore, the purpose of this thesis is to develop decision-support tools to evaluate manufacturing reshoring decisions. In order to fulfil this, it is important to know how industry experts reason while making manufacturing reshoring decisions (RQ1), and how their reasoning can be modeled into decision-support tools (RQ2). Therefore, three studies were conducted including a multiple case study and two modeling studies. The multiple case study addressed the criteria that are considered by the industry experts in these decisions, while the two modeling studies, based on fuzzy logic and analytical hierarchy process (AHP), used a part of these criteria to develop decision-support tools. The findings indicate that a holistic set of criteria were considered by industry experts in arriving at a manufacturing reshoring decision. A large portion of these criteria occur within competitive priority category and among them, high importance is given to quality, while low importance to sustainability. Fuzzy logic modeling was used to model the criteria from the perspective of competitive priority at an overall level. Three fuzzy logic concepts were developed to capture industry experts’ reasoning and facilitate modeling of manufacturing reshoring decisions. Furthermore, two configurations and sixteen settings were developed, of which, the best ones were identified. AHP-based tools were used to capture experts’ reasoning of the competitive priority criteria by comparing the criteria. It was observed that fuzzy logic-based tools are able to better emulate industry experts’ reasoning of manufacturing reshoring. This research contributes to theory with a holistic framework of reshoring decision criteria, and to practice with decision-support tools for evaluation of manufacturing reshoring decisions.

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  • 14.
    Sequeira, Movin
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Multi-stage fuzzy-logic model for evaluation of reshoring decisions2021Inngår i: Transdisciplinary Engineering for Resilience: Responding to System Disruptions: Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering (TE2021) / [ed] L. Newnes, S. Lattanzio, B. R. Moser, J. Stjepandić & N. Wognum, Amsterdam: IOS Press, 2021, Vol. 16, s. 312-321Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reshoring decisions are complex due to multiple groups of criteria that have an impact on the decision involved. In order to support this manual decision-making process, more advanced tools need to be developed. The purpose of this paper is to explore a multi-stage fuzzy-logic model to support the reshoring decision-making process through a transdisciplinary approach. Three relevant stages pertaining to reshoring decisions were identified: production resources, production capabilities, and competitive priorities. For each stage, factor loading values were used to create fuzzy rules. The model provides a decision recommendation based on a set of input reshoring scenarios. The research contributes to the reshoring literature providing a multi-stage fuzzy-logic model that simultaneously handles different groups of criteria, and to practitioners by contemplating different key competencies within a company during the reshoring decision process.

  • 15.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Adlemo, Anders
    Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik.
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Department of Industrial Engineering and Management, University of Gävle, Gävle, Sweden.
    A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions2023Inngår i: Operations Management Research, ISSN 1936-9735, E-ISSN 1936-9743, Vol. 16, s. 164-191Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Manufacturing relocation decisions are complex because they involve combinations of location modes like offshoring or reshoring, and governance modes like insourcing or outsourcing. Furthermore, the uncertainty involved in the decision-making process makes it challenging to reach a right-shoring decision. This study presents a hybrid fuzzy-AHP-TOPSIS model to support generic relocation decisions. Industry experts were involved in a pairwise comparison of the competitive priorities’ decision criteria. A meta-synthesis of empirical studies is used to generate theoretical relocation scenarios. The presented hybrid model is used to rank the relocation scenarios in order to identify the most pertinent alternative. The resiliency of the solution is presented through a sensitivity analysis. The results indicate that the proposed hybrid model can simultaneously handle all the main relocation options involving governance modes. Based on the input data in this study, the competitive priorities criteria quality, time and cost are shown to have a strong impact, whereas the sustainability criterion has a weak impact on the choice of relocation option. The research presented in this paper contributes to the research field of manufacturing relocation by demonstrating the suitability of the hybrid fuzzy-AHP-TOPSIS model for relocation decisions and the resilience of the results. Furthermore, the research contributes to practice by providing managers with a generic relocation decision-support model that is capable of simultaneously handling and evaluating various relocation alternatives.

  • 16.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Eriksson, David
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Jensen, Leif-Magnus
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Data-driven approach to extract reasoning in manufacturing reshoring decisionsManuskript (preprint) (Annet vitenskapelig)
  • 17.
    Sequeira, Movin
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Hilletofth, Per
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty2019Inngår i: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reshoring decisions are associated with both high complexity and uncertainty. The increased complexity is due to the vast number of factors that need to be considered, while the uncertainty is due to the lack of sufficient information. The existing decision-making frameworks are few and theoretical and have not incorporated uncertainty and complexity aspects. Moreover, they do not provide automatic or digital decision support. In order to deal with this, one of the essential branches of mathematics called fuzzy logic is integrated together with traditional analytical hierarchy process (AHP). The aim of this study is to investigate the feasibility of fuzzy analytical hierarchy process (FAHP) as a tool for reshoring decision making when complexity and uncertainty are involved. In order to achieve this, the FAHP was applied to six reshoring criteria, which also correspond to competitive priorities. The findings show that the criterion Quality received the highest weight, followed by the criterion Cost. It was found that the criterion Sustainability resulted in zero priority weight, which means that this criterion was not given importance in this decision. This reduced the complexity of the decision by removing irrelevant criteria in decision making. The fuzzy sets used for pairwise comparisons also incorporated uncertainty in the decision. The FAHP is a feasible tool for reshoring decision making for most of the decision scenarios. This reshoring decision-making tool is automatic, simple and less time consuming, and can be adapted to suit unique reshoring cases.

  • 18.
    Sequeira, Movin
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Hilletofth, Per
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Critical cost factors to consider in a manufacturing reshoring decision2019Konferansepaper (Fagfellevurdert)
  • 19.
    Sequeira, Movin
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Hilletofth, Per
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions2019Inngår i: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reshoring decision making is least explored as these decisions are complex and timeconsuming. Numerous quantitative and qualitative criteria need to be considered in the decision-making. The existing decision-making tools are few and theoretical and lack automatic decision support capabilities. Therefore, there is a need of automatic and rapid decision support tool for reshoring decision making. One of the more well-known systematic decision-making tools is analytical hierarchy process (AHP) that has been used to handle complex decision problems in operations management domain. This study aims to investigate the feasibility of AHP as a tool for reshoring decision-making. In order to achieve this, the AHP was applied to six reshoring criteria on an overall level, which also correspond to competitive priorities. First, a hierarchy of criteria was constructed, then the pairwise comparison of each criteria pair was made, then the final priority weights of the criteria were calculated, and finally the consistency of the comparisons was checked. The criteria Quality and Cost obtained higher priority weights in reshoring decision. Later, the final priority weights of the criteria were used to evaluate fifteen different reshoring decision scenarios and compared against reshoring expert’s opinion. It was found that thirteen of these decision evaluations were correct on comparing the AHP outputs and the expert’s opinion. Only two of the evaluations were not in agreement, however the confidence values on these decisions were very small. Therefore, this research shows that AHP is a feasible tool for reshoring decision making on an overall level of criteria. The tool can be adapted to different decision makers and different reshoring types. The tool provides automatic support for reshoring decisions.

  • 20.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Adlemo, Anders
    Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik.
    AHP-based support tools for initial screening of manufacturing reshoring decisions2021Inngår i: Journal of Global Operations and Strategic Sourcing, ISSN 2398-5364, E-ISSN 2398-5372, Vol. 14, nr 3, s. 502-527Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Purpose

    The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions.

    Design/methodology/approach

    Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools.

    Findings

    The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria.

    Research limitations/implications

    The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular.

    Practical implications

    This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions.

    Originality/value

    This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools are applied to evaluate 20 identical manufacturing reshoring scenarios, allowing a comparison of their output. The sensitivity analysis demonstrates the relative importance of the reshoring criteria.

  • 21.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Eriksson, David
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Criteria considered in a manufacturing reshoring decision: a multiple case study2020Inngår i: SPS2020: Proceedings of the Swedish Production Symposium, October 7–8, 2020 / [ed] K. Säfsten & F. Elgh, Amsterdam: IOS Press, 2020, Vol. 13, s. 610-621Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The manufacturing reshoring phenomenon has received more attention in the academic and business literature in recent years. Due to the newness of the phenomenon, there is a lack of knowledge about how these decisions were made. This research provides a theoretical framework by reviewing literature on possible criteria that are considered in a manufacturing reshoring decision. The criteria are categorized into six categories including competitive priority, resource, strategy, context, preference and global condition. A multiple case study methodology is used to identify the criteria and compare them with the theoretical framework. The findings indicate that total cost is the most common criteria considered and each case company has followed its own cost analysis techniques. Other criteria considered by all case companies were inventory cost, transportation cost, switching cost, delivery lead times, proximity to customer and availability of manufacturing technology. The research concludes that manufacturing reshoring is a holistic decision with criteria occurring at all categories in the theoretical framework. This contributes to the knowledge of reshoring decision-making and suggests that future research should investigate decision support tools for such decisions.

  • 22.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Eriksson, David
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Feasibility of AHP support tools in reshoring decision makingManuskript (preprint) (Annet vitenskapelig)
  • 23.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Hilletofth, Per
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Eriksson, David
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Jensen, Leif-Magnus
    Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Where we were and where are we headed: a temporal analysis of reshoring decision criteriaManuskript (preprint) (Annet vitenskapelig)
  • 24.
    Sequeira, Movin
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Hilletofth, Per
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Eriksson, David
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Sollander, Kristina
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Reshoring drivers in a Swedish manufacturing context2018Konferansepaper (Fagfellevurdert)
  • 25.
    Sequeira, Movin
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design.
    Sansone, Cinzia
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design. Jönköping University, Tekniska Högskolan, JTH, Logistik och verksamhetsledning.
    Relocation for production innovation capability: a bibliometric analysis2021Inngår i: Proceedings of the 28th Innovation and Product Development Management Conference, 2021Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Due to increasing competition, many manufacturing companies have relocated their production to low-cost countries, through offshoring. Recently, some manufacturing companies have moved their production back to their home country. Innovation has played an important role in allowing companies to add value to their productions and influencing relocation decisions. However, the literature does not provide a clear snapshot that explains how relocations are related to innovation. Therefore, the purpose of this paper is to explore the relationship between innovation and relocation. The paper adopts a quantitative review and a bibliometric analysis with data extracted from Scopus. Next, a content analysis is carried out on a subset of articles. The findings indicate that there is certain consensus on the positive relationship between innovation and offshoring, while limited knowledge on the relationship between innovation and reshoring. Furthermore, the relationship between innovation and relocation can be understood through the theory of dynamic capabilities, which is the boundary for both these topics. This research contributes to the debate on relocations and production innovation.

1 - 25 of 25
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