A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation

Remote assessment of quality, processing and economic criteria in qualification of suppliers to the meat packaging foil producer-A Greek case study

Supervision over the suppliers of packaging as well as suppliers of raw materials for packaging production is important to ensure the quality and safety of meat products. The aim of this study was to verify the remote evaluation procedure of quality, processing and economic criteria in qualification of raw materials suppliers to the meat packaging foil producer during the Covid-19 pandemic. The evaluation was done remotely in terms of meeting some of the requirements of the quality management system (QMS) in conditions where regular audit could not be carried out. The survey was conducted in one of the biggest packaging foil producers in Greece via its supplier evaluation. The evaluation consisted of: 1/ economic criteria and 2/ quality and processing criteria. The highest and the lowest rated economic criteria were procedural compliance and price of raw materials. Among the quality and processing criteria, the highest score was given to warranties and claims policies and material quality, and the lowest one to lead time. The highest ratings obtained suppliers of raw materials directly involved in production, suppliers from Greece, the USA and Denmark, as well as suppliers to the R&D department. The results of the study showed that the quality of the raw materials directly used in the production of packaging foil was adequate. Therefore, their use ensure production of packaging foil and finally packaged meat products of adequate quality and safety. The presented procedure occurred to be useful for remote evaluation of quality, processing and economic criteria in qualification of suppliers during the Covid-19 pandemic. It may inspire other producers of food packaging materials to continuing supervision over their suppliers while regular methods of control are limited.

Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis

The supplier selection process is a strategic decision-making process that influences the company’s sustainability. Lately, the sustainability concept has been highlighted as an organization’s source of success and profitability. Therefore, the selection of a sustainable supplier has become an imperative for organizations and is the focus of this manuscript. Suppliers are key stakeholders in the supply chain, and their proper selection is a key factor in a successful and sustainable supply chain. For this reason, it is crucial to determine how and which methods are mostly used by companies when choosing sustainable suppliers with the aim of examining whether the Data Envelopment Analysis (DEA) contributes to the same. This article is the first to present a comprehensive bibliometric analysis of 87 articles dealing with the application of DEA in the sustainable supplier selection in the period 2010–2022, with the application of the keywords “Data Envelopment Analysis”, “Supplier”, and “Sustainable” in Scopus and Web of Science databases. The main goal of this manuscript is to explore the applications of DEA in a sustainable supplier selection and to provide an analysis and visualization of bibliometric data to reveal the annual trends of published articles in this area, the top contributing journals, the most cited papers, the most contributing authors, citations, affiliations, and countries’ analysis, and an in-depth keyword visualization analysis. The findings of this study provide valuable insights and emphasize the ever-growing trend toward the selection of sustainable partners and suppliers in business using DEA methodology. Notably, this work shows the applicability and efficacy of DEA in specialized areas of supply chain management and should contribute to the construction of an overview of the existing literature on DEA studies regarding the process of selection of sustainable suppliers in supply chain management as well as stimulate the interest in the topic. This article gives an overview of a research field that is actually insufficiently explored through the scientific literature and presents a wide area and guidelines for future work.

An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital

Purpose

In this study, an integrated decision-making model consisting of decision-making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and a modified version of evaluation based on distance from average solution (EDAS) methods is proposed for supplier selection problem in a public procurement system considering sustainable development goals.

Design/methodology/approach

DEMATEL and BWM methods are used to determine weights of the criteria that are defined for the supplier selection problem. Weight aggregation method is applied to combine the weights obtained from these two methods. A modified version of EDAS method is then used in order to rank the alternative suppliers.

Findings

The proposed decision-making model is investigated for a supplier selection problem for a hospital in Spain. The validity of the results is checked using comparison with other decision-making methods and several performance analysis tests.

Practical implications

The proposed multi-criteria decision-making (MCDM) model contributes to the healthcare supply chain management (SCM) and aims to lead the policy makers in selecting the best supplier.

Originality/value

There is no such study that combines DEMATEL and BWM together for weight generation. The application of the modified EDAS method is also new. In real time situations, the decision experts may confront to the difficulty of using BWM while identifying the best and the worst criteria choices. The idea of using DEMATEL is to aid the experts to make them enable in distinguishing between the best/worst criteria and handle BWM easily.

A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Supply Chain Management (SCM) represents an example of a complex multi-stage system. The SCM involves and connects different activities, from customer’s orders to received services, all with the aim of satisfying customers. The evaluation of a particular SCM is a complex problem because of the internally linked hierarchical activities and multiple entities. In this paper, the introduction of a non-radial DEA (Data Envelopment Analysis) model for the evaluation of different components of SCM, primarily in terms of sustainability, is the main contribution. However, in order to confirm the novelty and benefits of this new model in the field of SCM, a literature review of past applications of DEA-based models and methods are also presented. The non-radial DEA model was applied for the selection and evaluation of the environmental efficiency of suppliers considering undesirable inputs and outputs resulting in a better ranking of suppliers. Via perturbation of the data used, behavior, as well as the benefits and weaknesses of the introduced model are presented through sensitivity analysis.