Integrating sustainability into strategic supplier portfolio selection

2016 ◽  
Vol 54 (1) ◽  
pp. 194-221 ◽  
Author(s):  
Claudia Neumüller ◽  
Rainer Lasch ◽  
Florian Kellner
Keyword(s):  
Portfolio Selection ◽  
Supplier Selection ◽  
Corporate Sustainability ◽  
Analytic Network Process ◽  
Specific Model ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Network Process ◽  
Gp Model

Purpose – The purpose of this paper is to propose a comprehensive methodology and a problem-specific model for the configuration of the optimal strategic supplier portfolio in terms of traditional, performance-related objectives and sustainability targets. Design/methodology/approach – To bridge the research gap, i.e., to align strategic supplier portfolio selection with corporate sustainability targets, a hybrid model of the analytic network process (ANP) and goal programming (GP) is developed. To validate the model, a case example is presented and managerial feedback is collected. Findings – By enabling the integration of sustainability targets into strategic supplier portfolio configuration, the hybrid ANP-GP model contributes to research in the area of sustainable supply chain management. Results indicate that simplifying the model by omitting one or more details may lead to unfortunate actions. Research limitations/implications – The model has been applied using a case example in the automotive industry. To strengthen the findings, it should be examined under other terms as well. Practical implications – Integrating economic, environmental, and social targets into strategic supplier portfolio configuration reduces supply risks and promotes the achievement of the sustainability goals of the purchasing company. Social implications – Strategic supplier selection counts among the decisions that have an impact on the environment and society for several years. Configuring economically rational, environmentally friendly, and socially responsible supplier bases supports worldwide efforts towards sustainable development. Originality/value – Although sustainable supplier selection has gained importance in recent years, this is the first time that a comprehensive model for the determination of the optimal strategic supplier portfolio in terms of performance-related objectives and sustainability targets has been proposed.

scholarly journals A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model

2019 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Supplier Selection ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Sustainable Supply Chain ◽  
Economic Significance ◽  
Industrial Organizations ◽  
Multi Criteria Evaluation ◽  
Proposed Model ◽  
Sustainable Supplier Selection ◽  
Network Process

Purpose – sustainability in industrial organizations is becoming one of the predominant concepts in the context of modern industrialization due to global warming, economic significance, and social awareness. These have prompted a huge concern toward sustainable supply chain management (SSCM) to be adopted and promoted as an innovative business model. Supplier evaluation and selection play a significant role in SSCM for taking appropriate procurement decisions. Research methodology – a hybrid MADM model based on Best Worst Method (BWM) and Combined Comprise Solution (CoCoSo) method. Findings – a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach. The results show the potentiality of the proposed model in resolving complex sustainability issues in the SCM environment. Research limitations – other weighting techniques like the analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) approaches can also be combined and performances can be compared. Practical implications – the proposed model can be used by the organizations to select the most appropriate suppliers who contribute to the movement of the SC towards sustainability. Originality/Value – a multi-criteria evaluation model has been proposed for solving a sustainable supplier selection problem while considering economic, environmental and social criteria simultaneously by integrating BWM-COCOSO methods

A multi-objective optimization model for sustainable supply chain network with using genetic algorithm

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Ehtesham Rasi ◽  
Mehdi Sohanian
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Supplier Selection ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Sustainability Performance ◽  
Multi Objective ◽  
Sustainable Supplier Selection

Purpose The purpose of this paper is to design and optimize economic and environmental dimensions in a sustainable supply chain (SSC) network. This paper developed a mixed-integer linear programing (MILP) model to incorporate economical and environmental data for multi-objective optimization of the SSC network. Design/methodology/approach The overall objective of the present study is to use high-quality raw materials, at the same time the lowest amount of pollution emission and the highest profitability is achieved. The model in the problem is solved using two algorithms, namely, multi-objective genetic and multi-objective particle swarm. In this research, to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system. Findings The differences found between the genetic algorithms (GAs) and the MILP approaches can be explained by handling the constraints and their various logics. The solutions are contrasted with the original crisp model based on either MILP or GA, offering more robustness to the proposed approach. Practical implications The model is applied to Mega Motor company to optimize the sustainability performance of the supply chain i.e. economic (cost), social (time) and environmental (pollution of raw material). The research method has two approaches, namely, applied and mathematical modeling. Originality/value There is limited research designing and optimizing the SSC network. This study is among the first to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Supplier Selection

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chung-Min Wu ◽  
Ching-Lin Hsieh ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Sustainable Supply Chain ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Sustainable Supplier Selection

The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights. To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.

Investigating interdependencies of sustainable supplier selection criteria: an appraisal using ISM

2020 ◽  
Vol 13 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Avanish Singh Chauhan ◽  
Gaurav Kumar Badhotiya ◽  
Gunjan Soni ◽  
Prem Kumari
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Local Community ◽  
Pollution Prevention ◽  
Content Type ◽  
The Past ◽  
Micmac Analysis ◽  
Sustainable Supplier Selection ◽  
Social Environmental ◽  
Practical Implications

Purpose Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions. Design/methodology/approach The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria. Findings A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions. Research limitations/implications The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model. Practical implications This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies. Originality/value This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.

scholarly journals Developing and Applying a Selection Model for Corrugated Box Precision Printing Machine Suppliers

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 68
Author(s):  
Chin-Tsai Lin ◽  
Cheng-Yu Chiang
Keyword(s):  
Supplier Selection ◽  
Analytic Network Process ◽  
Selection Model ◽  
Selection Strategy ◽  
Modified Delphi ◽  
Commitment Cost ◽  
Network Process ◽  
High Investment ◽  
Good Reputation ◽  
Printing Machine

Corrugated box printing machines are precision equipment produced by markedly few manufacturers. They involve high investment cost and risk. Having a corrugated box precision printing machine (CBPPM) supplier with a good reputation enables a corrugated box manufacturer to maintain its competitive advantage. Accordingly, establishing an effective CBPPM supplier selection model is crucial for corrugated box manufacturers. This study established a two-stage CBPPM supplier selection model. The first stage involved the use of a modified Delphi method to construct a supplier selection hierarchy with five criteria and 14 subcriteria. In the second stage, an analytic network process was employed to calculate the weights of criteria and subcriteria and to determine the optimal supplier. According to the results, the five criteria in the model, in descending order of importance, are quality, commitment, cost, service attitude, and reputation. This model can provide insights for corrugated box manufacturers formulating their CBPPM supplier selection strategy.

Sustainable supply chain management

2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Corporate Sustainability ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Fuzzy Delphi

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

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