scholarly journals A Decision Framework for Solar PV Panels Supply Chain in Context of Sustainable Supplier Selection and Order Allocation

2021 ◽  
Vol 13 (23) ◽  
pp. 13216
Author(s):  
Raja Awais Liaqait ◽  
Salman Sagheer Warsi ◽  
Taiba Zahid ◽  
Usman Ghafoor ◽  
Muhammad Shakeel Ahmad ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Mixed Integer ◽  
Solar Pv ◽  
Decision Framework ◽  
Order Allocation ◽  
Sustainable Supplier Selection ◽  
The Impact

Sustainable supplier selection and order allocation (SSSOA) is paramount to sustainable supply chain management. It is a complex multi-dimensional decision-making process augmented with the triple bottom line of sustainability. This research presents a multi-phase decision framework to address a SSSOA problem for the multi-echelon renewable energy equipment (Solar PV Panels) supply chain. The framework comprises of fuzzy Multi-Criteria Decision-Making techniques augmented with fuzzy multi-objective mixed-integer non-linear programming mathematical model. The various economic, environmental, and social objectives were optimized for a multi-period, multi-modal transportation network of the supply chain. The results show that among the various sustainable criteria selected in this study, product cost, environmental management system, and health and safety rights of employees are the most important for decision-makers. The results of the mathematical model highlighted the impact of multimodal transportation on overall cost, time, and environmental impact for all periods. An analysis of results revealed that transfer cost and customer clearance cost contribute significantly towards overall cost. Furthermore, defect rate was also observed to play a critical role in supplier selection and order allocation.

scholarly journals A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment

2019 ◽  
Vol 11 (19) ◽  
pp. 5413 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Suggested Approach ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Sustainable Supplier Selection ◽  
Decision Making Model

The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.

scholarly journals MODELLING OF FINANCIAL RESOURCE ALLOCATION FOR INCREASING THE SUPPLY CHAIN RESILIENCE USING MARKOV CHAINS

2021 ◽  
Vol 8 (2) ◽  
pp. 141-151
Author(s):  
Martin Čech ◽  
Radim Lenort
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Supply Chain ◽  
Markov Chains ◽  
Research Direction ◽  
Global Market ◽  
Supply Chain Resilience ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact

The concept of supply chain resilience has arisen in response to changing conditions in the global market environment. Although supply chain resilience building is gaining increasing interest among the professional public and business practice, supporting decision-making in supply chain resilience building is still in its infancy. This article aims to present a mathematical model of the supply chain based on Markov chains to assess the impact of funds allocated to strengthening the supply chain’s resilience to its overall performance and thus support decision-making in the field. Mathematical model assumptions are presented, then a mathematical model of a linear supply chain is developed and generalized, tested and methodological recommendations are presented. To support the use of the model, a set of managerial implications is presented, benefits and limitations are discussed, and further research direction is defined.

scholarly journals Development of Sustainable Supplier Selection Model using Dematel for Manufacturing Industry

2019 ◽  
Vol 8 (4) ◽  
pp. 11003-11006
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Sustainable Manufacturing ◽  
Careful Consideration ◽  
Manufacturing Cost ◽  
Manufacturing Environment ◽  
Manufacturing Firm ◽  
Sustainable Supplier Selection

A Sustainable Supplier Selection in supply chain becomes a key strategic evaluation to sustain in a competitive manufacturing environment. Thus, a careful consideration in supplier selection should be identified and prioritised. For this reason, the studies were carried out to determine and analyse the elements that contributes to the establishment of the sustainable supplier selection. To investigate the effectiveness of Sustainable Supplier Selection in the manufacturing Industry, a questionnaire was chosen to collect data from experts. Using a Decision Making Trial and Evaluation Laboratory (DEMATEL) method a Causal model was then established. These model shows that the priorities for Work System Performance (WSP) is WSP 4 (Manufacturing Cost Reduction). This finding is significant for manufacturing firm to establish a sustainable supplier in the supply chain management. Highly focuses on all these factors as a part of in their decision making stage for supplier selection will ensure their operation are in the sustainable manufacturing environment.

scholarly journals Building reputation through sustainable supplier selection: the case of an emerging economy

2020 ◽  
Vol 29 (3) ◽  
pp. 315-332
Author(s):  
Mohammad Asif Salam ◽  
Murad Ali
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Supply Chains ◽  
Supplier Selection ◽  
Emerging Economy ◽  
Equation Modeling ◽  
Content Type ◽  
Sustainable Supply Chains ◽  
Sustainable Supplier Selection ◽  
The Impact

PurposeThe purpose of this research is to examine the drivers of sustainable supplier selection (SSS) and investigate the extent to which it is associated with a buyer's financial performance within an emerging economy context.Design/methodology/approachThe data were collected from 235 supply chain and procurement professionals in Thailand. The structural relationship was tested using partial least squares based structural equation modeling (PLS-SEM) and PROCESS tool.FindingsBased on the empirical findings, firms that pursue sustainability initiatives during supplier selection process enjoy better financial performance than their competitors. The analysis suggests six hypothetical paths explain SSS. Suppliers' human rights and safety focus are the most powerful determinants of SSS. Significantly, positive support was found for the SSS and buyers' financial performance relationship. Finally, there is a significant moderating effect of resource investment on sustainability efforts.Research limitations/implicationsData for the study were collected from a single industry, so the findings are indicative but not representative of all supply chains. Due to this limitation, the findings cannot be generalized across other countries and industries. This study is a starting point in understanding the role of SSS in creating a sustainable supply chain. Future research may develop a comprehensive understanding of the nature and magnitude of the impact of SSS on sustainable supply chains.Originality/valueThis paper contributes toward an understanding of the determinants of SSS and its consequences for sustainable supply chains.

scholarly journals An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1304
Author(s):  
Erfan Babaee Tirkolaee ◽  
Zahra Dashtian ◽  
Gerhard-Wilhelm Weber ◽  
Hana Tomaskova ◽  
Mehdi Soltani ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Mixed Integer ◽  
Future Research ◽  
Analytic Hierarchy ◽  
Food Manufacturing ◽  
Environmental Criteria ◽  
Manufacturing Company ◽  
Service Areas

Along with the increased competition in production and service areas, many organizations attempt to provide their products at a lower price and higher quality. On the other hand, consideration of environmental criteria in the conventional supplier selection methodologies is required for companies trying to promote green supply chain management (GSCM). In this regard, a multi-criteria decision-making (MCDM) technique based on analytic hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) is used to evaluate and rate the suppliers. Then, considering the resource constraint, weight of criteria and a rank of suppliers are taken into account in a multi-objective mixed-integer linear programming (MOMILP) to determine the optimum order quantity of each supplier under uncertain conditions. To deal with the uncertain multi-objectiveness of the proposed model, a robust goal programming (RGP) approach based on Shannon entropy is applied. The offered methodology is applied to a real case study from a green service food manufacturing company in Iran in order to verify its applicability with a sensitivity analysis performed on different uncertainty levels. Furthermore, the threshold of robustness worthiness (TRW) is studied by applying different budgets of uncertainty for the green service food manufacturing company. Finally, a discussion and conclusion on the applicability of the methodology is provided, and an outlook to future research projects is given.

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