A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions

Sequeira, Movin; Adlemo, Anders; Hilletofth, Per

doi:10.1007/s12063-022-00284-6

Cited by 10 publications

(3 citation statements)

References 102 publications

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“…These evaluations are often cost-based, and the goal is to make a decision that creates the lowest landed cost (Gylling et al, 2015). Research argues that this is not enough (Hilletofth, Sequeira and Tate, 2021;Sequeira, Adlemo and Hilletofth, 2022;Sequeira, Hilletofth and Adlemo, 2021). The main reason for many reshoring cases is that the previous offshoring decision was made with a very rudimentary decision-making framework (Stentoft, Mikkelsen and Johnsen, 2015).…”

Section: Manufacturing Relocationmentioning

confidence: 99%

Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management

Fjellström

Hilletofth

Fang

et al. 2023

British J of Management

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Knowledge management and manufacturing relocation have been treated as independent spheres. However, for a relocation to be fruitful, knowledge management needs to be incorporated. The purpose of this research is to shed light on the lack of knowledge management in dynamic manufacturing relocation. In particular, the research focuses on the ability to change, adapt and revert manufacturing relocation decisions, that is, the dynamic nature (or use) of the concept. A Swedish company was used as a case study. Nine in-depth interviews were conducted with key informants at the company's headquarters in Sweden and its factory in China to capture a dyadic perspective. The findings demonstrate that: (1) knowledge transfer is crucial to create/sustain competitive advantage in the offshoring and reshoring phase; (2) lack of knowledge transfer results in limited learning outcomes with operational and strategic consequences in the relocation; (3) resistance to knowledge transfer in the offshoring creates a knowledge gap that consequently leads to relocation ambiguity in the reshoring phase; and (4) companies need to develop knowledge management strategies to promote knowledge transfer and learn from their international relocation, to cope with relocation ambiguity. Our theoretical contribution introduces the knowledge ambiguity framework, which is a result of insufficient knowledge transfer in the dynamic manufacturing relocation. Even if an organization relocates efficiently, it can fail to take advantage of knowledge transfer and development as potential learning for the organization.

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Section: Manufacturing Relocationmentioning

confidence: 99%

Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management

Fjellström

Hilletofth

Fang

et al. 2023

British J of Management

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show abstract

“…For example, [8] proposed an approach with Fuzzy Stochastic Revised Ordered Weighted Averaging (FSROWA) in a case study of project selection among 12 water resources development projects. [9] demonstrated the suitability of a hybrid fuzzy-AHP-TOPSIS model for relocation decisions and resilient results. They contributed to practice by providing a general relocation decision support model capable of simultaneously handling and evaluating multiple relocation alternatives.…”

Section: Article History: Publishedmentioning

confidence: 95%

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Emi Rusmiati,

Siti Aisyah,

Laksmi Ambarwati

2024

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This research aims to improve project quality at PT ABC by integrating the Fuzzy Analytical Hierarchy Process (F-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) within the Lean Six Sigma framework. This method assesses and selects quality improvement projects by considering uncertainty and complexity in decision-making. The Fuzzy AHP approach is used to flexibly assign criteria weights, while TOPSIS is used to rank projects based on performance scores relative to the ideal solution. This research aims to select the most suitable Lean Six Sigma project using the MCDM fuzzy AHP and TOPSIS approaches at PT ABC. There are three alternative quality improvement projects and three assessment criteria. The data processing results using Fuzzy AHP and TOPSIS showed that the most influential criterion was the impact criterion, with a value of 0.665. Overall, the order of influencing criteria is cost (0.260) and time (0.075). Based on a review of all criteria, the project to increase the drive plate production line (A) capacity was ranked first with a value of 0.772. Second place is the project to increase capacity and consolidate rear axle assemblies A and B with a value of 0.5529. Finally, the third is the process innovation and integrated manufacturing project to strengthen the business with a value of 0.4053.

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“…Firms respond to environmental regulations in various ways, depending on factors such as the nature of the regulations, the industry sector, and the specific circumstances of the business [42]. According to Porter effects, firms may adopt adaptive approaches, such as technological innovation and sustainable operational changes, to bring about cost savings and market advantages, and hence overall economic performance in the long run [43][44][45][46].…”

Section: Firms' Responses To Environmental Regulationsmentioning

confidence: 99%

Pollution Transfer under Intergovernmental Competition: Suppression or Opportunity

Zhang,

Zhang

2023

Sustainability

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In recent years, the Sustainable Development Goals have introduced a “race to the top” mechanism to complement the “race to the bottom” in local governance and have an impact on pollution. This study utilizes the environmentally oriented accreditation of National Civilized Cities as a policy shock and applies the PSM-DID method to identify the pollution-relocation effects among cities triggered by the competition in local governance. The results indicate that environmentally oriented intergovernmental competition leads to the transfer of industrial enterprises to non-accredited cities, resulting in a significant increase in their pollution emissions and industrial pollution intensity. This indicates that the competition in asymmetric local governance will lead to the transfer of pollution to backward regions, which hampers the overall implementation efficiency of national environmental policies. Furthermore, heterogeneity analysis reveals that the impact is more significant for cities in the central and western regions. Being nominated for the National Civilized City accreditation helps to inhibit the influx of polluting enterprises. Cities that are not part of integrated environmental regulatory regions show a more pronounced increase in pollution emissions compared to other cities, indicating that symmetric local government environmental regulations and environmental collaborative governance contribute to restraining pollution transfer.

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A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions

Cited by 10 publications

References 102 publications

Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management

Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management

Quality Improvement Project Selection Using Fuzzy AHP and TOPSIS to Support Lean Six Sigma at PT ABC

Pollution Transfer under Intergovernmental Competition: Suppression or Opportunity

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