Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis

Haryono,; Masudin, Ilyas; Suhandini, Yustina; Kannan, Devika

doi:10.1016/j.clscn.2024.100161

Cleaner Logistics and Supply Chain

2024

DOI: 10.1016/j.clscn.2024.100161

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Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis

Haryono,

Ilyas Masudin,

Yustina Suhandini

et al.

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2024

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Cited by 3 publications

References 69 publications

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Developing a Two-Stage Decision-Making Method for Selecting and Clustering Suppliers Based on the Resilience Criteria

Nasiri,

Miandoabchi,

Javadi

2024

Group Decis Negot

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Developing a Two-Stage Decision-Making Method for Selecting and Clustering Suppliers Based on the Resilience Criteria

Nasiri,

Miandoabchi,

Javadi

2024

Group Decis Negot

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Approach Based on the Ordered Fuzzy Decision Making System Dedicated to Supplier Evaluation in Supply Chain Management

Rudnik,

Chwastyk,

Pisz

2024

Entropy

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The selection of suppliers represents a pivotal aspect of supply chain management and has a considerable impact on the success and competitiveness of the organization in question. The selection of a suitable supplier is a multi-criteria decision making (MCDM) problem based on a number of qualitative, quantitative, and even conflicting criteria. The aim of this paper is to propose a novel MCDM approach dedicated to the supplier evaluation problem using an ordered fuzzy decision making system. This study uses a fuzzy inference system based on IF–THEN rules with ordered fuzzy numbers (OFNs). The approach employs the concept of OFNs to account for potential uncertainty and subjectivity in the decision making process, and it also takes into account the trends of changes in assessment values and entropy in the final supplier evaluation. This paper’s principal contribution is the development of a knowledge base and the demonstration of its application in an ordered fuzzy expert system for multi-criteria supplier evaluation in a dynamic and uncertain environment. The proposed system takes into account the dynamic changes in the value of assessment parameters in the overall supplier assessment, allowing for the differentiation of suppliers based on current and historical data. The utilization of OFNs in a fuzzy model then allows for a reduction in the complexity of the knowledge base in comparison to a classical fuzzy system and makes it more accessible to users, as it requires only basic arithmetic operations in the inference process. This paper presents a comprehensive framework for the assessment of suppliers against a range of criteria, including local hiring, completeness, and defect factors. Furthermore, the potential to integrate sustainability and ESG (environmental, social, and corporate governance) criteria in the assessment process adds value to the decision making framework by adapting to current trends in supply chain management.

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Green Sourcing: Supplier Assessment and Selection Practices across Industries

Adamides,

Mouzakitis

2024

Logistics

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Background: Over the last years, the assessment and selection of suppliers, based on the environmental performance of their products/services and their operations, has reached paramount importance and attracted the interest of many researchers and practitioners. Based on the prevailing perspective of supplier selection as a purely decision-making problem, this interest has been channeled towards the development of decision-support methods and tools. Other broader issues, such as whether there are converging or diverging green supplier evaluation and selection organizational processes across industries has not been addressed. Methods: Here, for the first time, we address this question by adopting a systems perspective and by considering green supplier evaluation and selection as an organizational sub-process of the broader sourcing process. We use activity theory to represent green supplier evaluation and selection as two interconnected activities, each comprising a set of organizational practices. Based on this representation, we developed a research instrument to carry out empirical research in a sample of 80 companies from five industries (pharmaceuticals, food processing, aquaculture, construction materials, waste management and recycling) in Greece. Results: The results of the survey suggest that green supplier evaluation and selection practices do not fully converge, but there are differences across industries. Conclusions: The cultural and historical context of industries influences the adoption of specific environmental supplier evaluation and selection practices.

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Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis

Cited by 3 publications

References 69 publications

Developing a Two-Stage Decision-Making Method for Selecting and Clustering Suppliers Based on the Resilience Criteria

Developing a Two-Stage Decision-Making Method for Selecting and Clustering Suppliers Based on the Resilience Criteria

Approach Based on the Ordered Fuzzy Decision Making System Dedicated to Supplier Evaluation in Supply Chain Management

Green Sourcing: Supplier Assessment and Selection Practices across Industries

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