Supplier Selection and Order Allocation with Lean Manufacturing Criteria: An Integrated MCDM and Bi-objective Modelling Approach

Rezaei, Aida; Galankashi, Masoud Rahiminezhad; Mansoorzadeh, Shiva; Rafiei, Farimah Mokhatab

doi:10.1080/10429247.2020.1753490

Cited by 32 publications

(12 citation statements)

References 58 publications

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“…This exercise will help answer RQ3. (Bhanot et al, 2015;Dixit and Gupta, 2013;Yurdakul, 2002) 10 Employee teamwork It fosters creativity and learning, blends complementary strengths and helps in conflict resolution skills (Sânchez and Pérez, 2001) 11 Recruitment of multi-skill employees It helps to cope up with changing situations and to maintain performance (Abdi and Labib, 2003;Dixit and Gupta, 2013) 12 Systematic inventory control processes It is the process of ensuring appropriate stock in the manufacturing system along with the quality of raw material (Abdi and Labib, 2004;Bhanot et al, 2015;Dixit and Gupta, 2013;ElMaraghy, 2006;Koren et al, 1999;Mapes, 2000;Sânchez and Pérez, 2001) 13 Supplier integration Suppliers are providing necessary information and directly taking part in decision-making (Dixit and Gupta, 2013;Rezaei et al, 2020) (continued) (Abdi and Labib, 2004;Haddou Benderbal, et al, 2018;Sânchez and Pérez, 2001;Yurdakul, 2002) 15 Effective utilization of infrastructure If the space available is short and several s products to be manufactured are more, RMS is very helpful (Dixit and Gupta, 2013) 16…”

Section: Methodsmentioning

confidence: 99%

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Pansare¹,

Yadav²,

Nagare³

2021

JEDT

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Purpose Uncertainties in manufacturing and changing customer demands force manufacturing industries to adopt new strategies, such as the reconfigurable manufacturing system (RMS). To improve the implementation and performance of RMS, it is necessary to review the available literature and identify future trends in this field. This paper aims to analyze existing literature and to see trends in RMS-related research. Design/methodology/approach The systematic literature review and analysis of RMS-related research papers from 1999 to 2020 is carried out in this literature. The selected studies are analyzed based on the year of publication, journals, publishers, active authors, research design, countries, enablers, barriers, performance evaluation parameters and universities. Findings After the analysis of selected RMS-related research papers, the top countries, universities, journals, publishers and authors are identified in this domain. Research themes and trends in research are identified in this study. Besides, it has been noted that there is a need for further research in this domain and for the creation of a generalized framework that can guide researchers and practitioners to increase RMS adoption. Practical implications Research insights, guidance and observations from this paper are provided to RMS-related researchers and practitioners. Important research gaps are identified in this study, which can provide direction for future research and trends in RMS research. Originality/value The study presented focuses mainly on the method of collecting, organizing, capturing, interpreting and analyzing data to provide more insight into RMS to identify future trends in research.

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Section: Methodsmentioning

confidence: 99%

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Pansare¹,

Yadav²,

Nagare³

2021

JEDT

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“…Rezaei et al [55] proposed an integrated approach for SSOA in lean manufacturing companies by utilizing both MODM and MCDM techniques. The study was conducted in four phases.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach

Ghorabaee

2023

Mathematics

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The sustainable Supplier Evaluation and Selection and Order Allocation (SSOA) problem has received significant attention in supply chain management due to its potential to enhance a company’s performance, improve customer satisfaction, and reduce costs. In this study, an integrated methodology is proposed to address the SSOA problem. The methodology combines multiple techniques to handle the uncertainties associated with supplier evaluation, including a new ranking method based on the concept of Radius of Gyration (ROG) for interval type-2 fuzzy sets. The methodology also incorporates both subjective weights obtained using the Simple Multi-Attribute Rating Technique (SMART) and expert preferences, and objective weights calculated using the Method based on the Removal Effects of Criteria (MEREC) method to determine the weights of evaluation criteria. Some criteria for sustainable development are used to evaluate supplier performance, resulting in type-2 fuzzy sets, which are evaluated using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The ROG-based ranking method is employed to calculate the relative scores of suppliers. Finally, a multi-objective decision-making (MODM) mathematical model is presented to identify suitable suppliers and allocate their order quantities. The methodology is demonstrated in a sustainable SSOA problem and is shown to be efficient and effective, as the ROG-based ranking method allows for more accurate supplier performance evaluation, and the use of the criteria highlights the importance of sustainability in supplier selection and order allocation. The methodology’s practicality is further supported by the analysis conducted in this study, which demonstrates the methodology’s ability to handle the uncertainties associated with supplier evaluation and selection. The proposed methodology offers a comprehensive approach to the SSOA problem that can effectively handle the uncertainties in supplier evaluation and selection and promote sustainable practices in supply chain management.

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“…These works are generally focused on selecting the supplier of components/subassemblies that will lead to minimal cost while respecting customer's deadline and requirements. Similarly, Rezaei [29] and Galankashi [30] addressed the optimization of supplier selection and production planning, but in addition to cost and lead time, they also optimized the quality through the minimization of defective supplied components, which directly affects customer satisfaction.…”

Section: Joint Product-process Configuration For Mass Customizationmentioning

confidence: 99%

Joint optimization of product configuration and process planning in Reconfigurable Manufacturing Systems

Sabioni¹,

Daaboul²,

Duigou³

2022

Int J Ind Eng Manag

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A key factor for the successful implementation of mass customization is joint product-process optimization. This paper proposes a linear programming model that jointly optimizes product configuration and process planning in a reconfigurable manufacturing system (RMS) to minimize manufacturing costs while ensuring individual customer requirements (CR) satisfaction. The impact of the initial RMS configuration and changes in CRs on the total cost is investigated. The results show that for a given set of CR, different product variants can appear like the optimal solution, and the total cost can vary up to 30%, confirming the benefits of joint product-process optimization.

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Supplier Selection and Order Allocation with Lean Manufacturing Criteria: An Integrated MCDM and Bi-objective Modelling Approach

Cited by 32 publications

References 58 publications

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach

Joint optimization of product configuration and process planning in Reconfigurable Manufacturing Systems

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