A Mathematical Approach for Technology Selection in the Presence of Slightly Non-homogeneous Technologies

The assumption of classical technology selection models is based on complete homogeneity of technologies. In spite of this assumption in many applications some technologies do not comprehensively consume common inputs to comprehensively supply common outputs. The objective of this paper is to propose a model for selecting slightly non-homogeneous technologies. A numerical example demonstrates the application of the proposed method

The Use of AR-IDEA Approach for Supplier Selection Problems

Abstract: To select the best suppliers in the presence of both cardinal and ordinal data and considering weight restrictions, this paper proposes a method, which is based on Assurance RegionImprecise Data Envelopment Analysis (AR-IDEA). A numerical example demonstrates the application of the proposed method

Selecting the best supply chain by goal programming and network data envelopment analysis

Today, one of the most important problems of decision makers in most organizations is to choose the best supply chain. The main objective of this paper is to choose the best supply chain. To select the best supply chain this paper presents a model based on goal programming and network data envelopment analysis (NDEA). The proposed model enables decision makers to compare supply chains with predetermined goals. A case study is presented to validate the proposed model

Preface: sustainable operations in manufacturing enterprise

It is indeed a real pleasure to announce the publication of this special issue, Sustainable Operations in Manufacturing Enterprise (SOME), for Annals of Operations Research. Overall, many papers were received for this special issue, and based on reviewer reports the best papers are included in this issue. This special issue is focused primarily on the three sustainable aspects, 3Ps of sustainability: profit, planet, and people. The accepted papers focus on sustainability, circular economy, mutli-criteria decision making (MCDM), optimization modelling using mixed integer linear/non-linear program (MLP/MINLP), and data envelopment analysis (DEA) having some applications to industry and society were considered

A Forgotten Point in Technology Selection

The assumption of classical technology selection models is based on complete homogeneity of technologies. In spite of this assumption in many applications some technologies do not comprehensively consume common inputs to comprehensively supply common outputs. The objective of this paper is to propose a Data Envelopment Analysis (DEA) model for selecting slightly non-homogeneous technologies. A numerical example demonstrates the application of the proposed method

A DECISION MODEL FOR SELECTING THIRD-PARTY REVERSE LOGISTICS PROVIDERS IN THE PRESENCE OF BOTH DUAL-ROLE FACTORS AND IMPRECISE DATA

This paper introduces a model for dealing with selecting third-party reverse logistics (3PL) providers in the presence of both dual-role factors and imprecise data. The proposed model is based on data envelopment analysis (DEA). A numerical example demonstrates the application of the proposed method.Data envelopment analysis, third-party reverse logistics provider, 3PL provider, dual-role factors, imprecise data