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Sequeira, M. (2020). Developing decision-support tools for evaluation of manufacturing reshoring decisions. (Licentiate dissertation). Jönköping: Jönköping University, School of Engineering
Open this publication in new window or tab >>Developing decision-support tools for evaluation of manufacturing reshoring decisions
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
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.

Abstract [sv]

Under de tre senaste decennierna har många företag flyttat sin produktion till lågkostnadsländer för att kunna utnyttja lägre lönekostnader. Många gånger har företagen genom denna åtgärd lyckats sänka sin tillverkningskostnad men samtidigt drabbats av oförutsedda problem kopplat till exempelvis produkt-kvalitet och möjligheten att kundanpassa produkter. Hanteringen av problemen har lett till ytterligare kostnader som många gånger överstigit besparingen i tillverkningskostnad. Detta har lett till att allt fler företag börjat flytta tillbaka sin produktion till hemlandet, så kallad reshoring. Reshoring är ett ungt område där det saknas forskning gällande bland annat hur den här typen av beslut på bästa sätt kan utvärderas och vilken typ av beslutstöd som kan underlätta den här typen av beslut. Därför är syftet med den här avhandlingen är att utveckla beslutsstödverktyg för utvärdering av reshoring beslut. För att uppfylla syftet har två forskningsfrågor formulerats. Den första frågan handlar om hur industriexperter resonerar kring reshoring beslut (RQ1) medan den andra frågan handlar om hur deras resonemang kan modelleras i beslutsstödverktyg (RQ2). Tre studier har genomförts för att besvara forskningsfrågorna, en fallstudie och två modelleringsstudier. Fallstudien fokuserar på att identifiera vilka kriterier som industriexperter beaktar medan modelleringsstudierna fokuserar på att utveckla beslutstödsverktyg där en del av dessa kriterier beaktas, med hjälp av fuzzy logic och analytical hierarchy process (AHP). Resultaten från forskningen visar att industriexperter bedömer reshoring beslut utifrån ett holistiskt perspektiv. En stor del av dessa beslutskriterier finns inom konkurrenskraft kategorin och inom dessa, har industriexperterna lagt högst vikt på kvalitet och lägst vikt på hållbarhet. Genom fuzzy logic modellering modellerades kriterierna på en övergripande nivå. Tre nya fuzzy logic koncept utvecklades för att fånga experternas resonemang. Dessutom utvecklades två konfigurationer med sexton olika inställningar, och de bästa identifierades. AHP-baserade verktyg utvecklades för att fånga experternas resonemang om kriterierna för konkurrenskraft prioriteringar. Fuzzy logic-baserade verktyg kan bättre fånga experternas resonemang kring reshoring beslut. Denna forskning bidrar till teori med en holistisk lista över beslutskriterier för reshoring beslut, och till praktik med beslutsstöd verktyg för utvärdering av reshoring beslut.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2020. p. 69
Series
JTH Dissertation Series ; 054
Keywords
Manufacturing reshoring, decision-making, support tools, fuzzy logic, AHP, Produktion, reshoring, beslutsstödverktyg, fuzzy logik, AHP
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-48263 (URN)978-91-87289-57-6 (ISBN)
Presentation
2020-05-26, da Vinci (jE4106) / via Zoom, Jönköping University, School of Engineering, Jönköping, 10:00 (English)
Opponent
Supervisors
Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2020-05-05Bibliographically approved
Sequeira, M. & Hilletofth, P. (2019). Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
Reshoring decision making, FAHP, Uncertainty in decision, Decision support tool, Manufacturing location.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47154 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2020-05-05Bibliographically approved
Sequeira, M. & Hilletofth, P. (2019). Critical cost factors to consider in a manufacturing reshoring decision. In: : . Paper presented at 26 th EurOMA Conference, Operations adding value to society, 17th - 19th June 2019, Helsinki, Finland.
Open this publication in new window or tab >>Critical cost factors to consider in a manufacturing reshoring decision
2019 (English)Conference paper, Published paper (Refereed)
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-44676 (URN)
Conference
26 th EurOMA Conference, Operations adding value to society, 17th - 19th June 2019, Helsinki, Finland
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2020-05-05
Sequeira, M. & Hilletofth, P. (2019). Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
Reshoring decision making, AHP, Decision support tool, Manufacturing location.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47153 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2020-05-05Bibliographically approved
Hilletofth, P. & Sequeira, M. (2019). Fuzzy logic in a reshoring decision-making context. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Fuzzy logic in a reshoring decision-making context
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
reshoring, fuzzy logic, decision-making, decision-support, manufacturing location decision.
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-47150 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2020-05-05Bibliographically approved
Pardillo Baez, Y., Sequeira, M., Hilletofth, P. & Andersson, R. (2019). Local Distribution of Organic Food: A Review and Research Agenda. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Local Distribution of Organic Food: A Review and Research Agenda
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
Food distribution system, alternative food networks, distribution channels, sustainability, localness.
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:hj:diva-47157 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2020-05-05Bibliographically approved
Hilletofth, P., Sequeira, M. & Adlemo, A. (2019). Three novel fuzzy logic concepts applied to reshoring decision-making. Expert systems with applications, 126, 133-143
Open this publication in new window or tab >>Three novel fuzzy logic concepts applied to reshoring decision-making
2019 (English)In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Decision-making, Fuzzy logic, High-level rule, Linguistic variable weight, Relative linguistic label, Reshoring, Computer circuits, Decision making, Fuzzy inference, Fuzzy rules, Linguistics, Fuzzy logic system, High-level rules, Interpretability, Linguistic labels, Linguistic variable
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-43403 (URN)10.1016/j.eswa.2019.02.018 (DOI)000464486100012 ()2-s2.0-85063033919 (Scopus ID)PP JTH 2019 embargo 24 (Local ID)PP JTH 2019 embargo 24 (Archive number)PP JTH 2019 embargo 24 (OAI)
Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2020-05-05Bibliographically approved
Sequeira, M., Hilletofth, P., Eriksson, D. & Sollander, K. (2018). Reshoring drivers in a Swedish manufacturing context. In: : . Paper presented at 27th International IPSERA Conference, Athens, March 25-28, 2018..
Open this publication in new window or tab >>Reshoring drivers in a Swedish manufacturing context
2018 (English)Conference paper, Published paper (Refereed)
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-39084 (URN)
Conference
27th International IPSERA Conference, Athens, March 25-28, 2018.
Available from: 2018-04-09 Created: 2018-04-09 Last updated: 2019-02-13Bibliographically approved
Neramballi, A., Sequeira, M., Rydell, M., Vestin, A. & Ibarra, M. (2017). A comprehensive literature review of green supply chain management. In: Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE’17): . Paper presented at 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE Congress 2017), Barcelona, Spain, April 2-4, 2017 (pp. 1-8). Avestia Publishing
Open this publication in new window or tab >>A comprehensive literature review of green supply chain management
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2017 (English)In: Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE’17), Avestia Publishing, 2017, p. 1-8Conference paper, Published 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.

Place, publisher, year, edition, pages
Avestia Publishing, 2017
Series
ICESDP, ISSN 2371-5294 ; 176
Keywords
green supply chain management, sustainable supply chain, supply chain, performance optimization
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hj:diva-37782 (URN)10.11159/icesdp17.176 (DOI)2-s2.0-85045076468 (Scopus ID)9781927877296 (ISBN)
Conference
2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE Congress 2017), Barcelona, Spain, April 2-4, 2017
Note

Paper No. ICESDP 176

Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2020-05-05Bibliographically approved
Sequeira, M., Hilletofth, P. & Eriksson, D.Criteria considered in a reshoring decision: a multiple case study.
Open this publication in new window or tab >>Criteria considered in a reshoring decision: a multiple case study
(English)Manuscript (preprint) (Other academic)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-48259 (URN)
Note

Manuscript submitted for review (under review). An earlier version of this paper was submitted and accepted at the 9th Swedish Production Symposium (SPS), Jönköping, Sweden. 6-9 October 2020.

Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2020-05-05
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1318-1598

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