Big data analytics in logistics and supply chain management: Certain investigations for research and applications

https://findresearcher.sdu.dk:8443/ws/files/135384983/Supply_chain_network_design_under_uncertainty.pdf

Supply chain network design under uncertainty: A comprehensive review and future research directions

In recent years, reverse logistics (RL) has become a field of importance for all organizations due to growing environmental concerns, legislation, corporate social responsibility and sustainable competitiveness. RL refers to the sequence of activities required to collect the used product from the customers for the purpose of either reuse or repair or re-manufacture or recycle or dispose of it. Perusal of the literature shows that research in the field of RL is in evolving phase and issues pertaining to adoption and implementation, forecasting product returns, outsourcing, RL networks from secondary market perspective, and disposition decisions have not been reviewed extensively. This study attempts to fill the existing gap through literature review on these issues, and outline the future directions for research based on research gap analysis. Total 242 published articles were selected, categorized, analyzed, and gaps in literature were identified to suggest for future research opportunities. The review may be useful for academicians, researchers and practitioners for better understanding of RL and guidance for future research.

A literature review and perspectives in reverse logistics

This study aims to review the literature in green supply chain management (GSCM) published from 1998 to 2017 and presenting insights and directions for future research. The study collects data from Scopus and ISI Web of Science databases and objectively selects 880 papers and conducts metadata analysis. In addtion, 236 papers from ISI Web of Science is analyzed to present the insights along with the classifications of the literatures based on content analyses, which comprises of conceptual development, drivers and barriers, collaboration with supply chain partners, mathematical and other optimization models, and assessment of green supply chain management practices and performance. The study finds that research on drivers or barriers analysis of green supply chain management reveals a declining trend while there is a growing trend of applying mathematical optimization models for enhancing decision making in pursuit of environmental performance. Moreover, the study finds a consistent growth in the evaluation of green supply chain management practices and performance. Though, the concept of green supply chain management started gaining popularity among academicians from the beginning of the 20th century, this study finds a sharp growth of publications on the topic after 2010 until now. This study identifies influential authors, top journals, top contributing countries, top contributing institutions and contribution by disciplines. This study presents a comprehensive but straightforward conceptual model of green supply chain management. The findings and future research directions of the study offers a new avenue for further exploration and contribution to this discipline.

A literature review on green supply chain management: Trends and future challenges

Proposed a intuitionistic fuzzy based DEMATEL method for developing green practices.A case study from automotive industry is used for validation.Sensitivity analysis is performed to check the robustness of the method. Environmental topics have gained much consideration in corporate green operations. Globalization, stakeholder pressures, and stricter environmental regulations have made organizations develop environmental practices. Thus, green supply chain management (GSCM) is now a proactive approach for organizations to enhance their environmental performance and achieve competitive advantages. This study pioneers using the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets to handle the important and causal relationships between GSCM practices and performances. DEMATEL evaluates GSCM practices to find the main practices to improve both environmental and economic performances. This study uses intuitionistic fuzzy set theory to handle the linguistic imprecision and the ambiguity of human being's judgment. A case study from the automotive industry is presented to evaluate the efficiency of the proposed method. The results reveal "internal management support", "green purchasing" and "ISO 14001 certification" are the most significant GSCM practices. The practical results of this study offer useful insights for managers to become more environmentally responsible, while improving their economic and environmental performance goals. Further, a sensitivity analysis of results, managerial implications, conclusions, limitations and future research opportunities are provided.

Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain

Owing to the revolution in sustainable and green manufacturing the production planning and network design of closed loop supply chain concept has got the attention of researchers and managers. In this paper, a multi-product, multi-facility capacitated closed-loop supply chain framework is proposed in an uncertain environment including reuse, refurbish, recycle and disposal of parts. The uncertainty related to demand, fraction of parts recovered for different product recovery processes, product acquisition cost, purchasing cost, transportation cost, processing, and set-up cost is handled with fuzzy numbers. A fuzzy mixed integer linear programming model is proposed to decide optimally the location and allocation of parts at each facility and number of parts to be purchased from external suppliers in order to maximise the profit of organisation. The proposed solution methodology is able to generate a balanced solution between the feasibility degree and degree of satisfaction of the decision maker. The propo...

Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model

Sustainability is an important concept for twenty first century organizations and one approach for managing corporate sustainability is through the introduction of reverse logistics (RL). But there are many barriers to the implementation of RL in developing countries like India. This paper identifies sixteen barriers to RL from the literature survey. An interpretive structural modeling (ISM) technique has been used to develop a structural model to obtain proper hierarchy and interrelationship among the barriers. The model will help the decision makers in government and industry to prioritize the focus on the barriers for implementation of RL.

Development of an interpretive structural model of drivers for reverse logistics implementation in Indian industry

The growing concern for sustainability has forced the researchers and managers to incorporate the environmental and social factors along with the economical factors in the design of supply chains. This paper presents the design and optimization of a multi-objective closed-loop supply chain considering the economical and environmental factors with uncertainty in parameters. The proposed network is modeled as fuzzy multi-objective mixed integer linear programming problem considering multi-customer zones, multi-collection centers, multi-disassembly centers, multi-refurbishing centers, multi-external suppliers, and different product recovery processes; to take care for purchasing cost, transportation cost, processing cost, set-up cost, and capacity constraints simultaneously. The model is solved using an interactive $$\upvarepsilon $$
 -constraint method. A case example is solved using LINGO 14.0 to demonstrate the significance and applicability of the developed fuzzy optimization model for closed-loop supply chain.

Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors

Network Design and Optimization for Multi-product, Multi-time, Multi-echelon Closed-loop Supply Chain under Uncertainty

Purpose – The purpose of this paper is to study the performance measures of world class manufacturing (WCM) and to establish relationship among them using interpretive structural modeling (ISM). Design/methodology/approach – The research paper presents a blend of theoretical framework and practical applications. In the paper, 16 performance measures are identified from literature survey and experts’ opinion, and then these are validated by questionnaire survey in India. Finally, ISM is used to obtain structural relationship among these performance measures of WCM. Findings – The results of the survey and the ISM methodology have been used to evolve the mutual relationships among these performance measures. Practical implications – The adoption of such an ISM-based model on WCM performance measures in manufacturing organizations would help managers, decision-makers and practitioners of WCM in better understanding of these performance measures and to focus on appropriate performance measures while implement...

Anil Jindal

Papers

Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model

Development of an interpretive structural model of drivers for reverse logistics implementation in Indian industry

Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors

Network Design and Optimization for Multi-product, Multi-time, Multi-echelon Closed-loop Supply Chain under Uncertainty

Modeling the performance measures of world class manufacturing using interpreting structural modeling