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  • 1.
    Hilletofth, Per
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Fuzzy logic in a reshoring decision-making context2019In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper (Refereed)
    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.

  • 2.
    Hilletofth, Per
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Department of Industrial Engineering and Management, University of Gävle, Sweden.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Three novel fuzzy logic concepts applied to reshoring decision-making2019In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed)
    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.

    The full text will be freely available from 2021-02-14 00:00
  • 3.
    Neramballi, Abhijna
    et al.
    Jönköping University, School of Engineering.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
    Rydell, Martin
    Jönköping University, School of Engineering.
    Vestin, Alexander
    Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
    Ibarra, Maria
    Jönköping University, School of Engineering.
    A comprehensive literature review of green supply chain management2017In: Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE’17), Avestia Publishing, 2017, p. 1-8Conference paper (Refereed)
    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.

  • 4.
    Pardillo Baez, Yinef
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Andersson, Roy
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Local Distribution of Organic Food: A Review and Research Agenda2019In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper (Refereed)
    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.

  • 5.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty2019In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper (Refereed)
    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.

  • 6.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Critical cost factors to consider in a manufacturing reshoring decision2019Conference paper (Refereed)
  • 7.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions2019In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper (Refereed)
    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.

  • 8.
    Sequeira, Movin
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Eriksson, David
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Sollander, Kristina
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Reshoring drivers in a Swedish manufacturing context2018Conference paper (Refereed)
1 - 8 of 8
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