Customer involvement in greening the supply chain: an interpretive structural modeling methodology

Kumar, Sanjay; Luthra, Sunil; Haleem, Abid

doi:10.1186/2251-712x-9-6

Cited by 126 publications

(78 citation statements)

References 47 publications

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“…In actuality, most of the customers want to work with ecofriendly firms. Indeed, the role of customers in green supply chain has been recognized as an important research area (Kumar et al 2013). Consequently, customer satisfaction can be evaluated both by prompt services and green product.…”

Section: Eco-friendly Decision-makersmentioning

confidence: 99%

A green vehicle routing problem with customer satisfaction criteria

et al. 2016

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This paper develops an MILP model, named Satisfactory-Green Vehicle Routing Problem. It consists of routing a heterogeneous fleet of vehicles in order to serve a set of customers within predefined time windows. In this model in addition to the traditional objective of the VRP, both the pollution and customers' satisfaction have been taken into account. Meanwhile, the introduced model prepares an effective dashboard for decision-makers that determines appropriate routes, the best mixed fleet, speed and idle time of vehicles. Additionally, some new factors evaluate the greening of each decision based on three criteria. This model applies piecewise linear functions (PLFs) to linearize a nonlinear fuzzy interval for incorporating customers' satisfaction into other linear objectives. We have presented a mixed integer linear programming formulation for the S-GVRP. This model enriches managerial insights by providing trade-offs between customers' satisfaction, total costs and emission levels. Finally, we have provided a numerical study for showing the applicability of the model.

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Section: Eco-friendly Decision-makersmentioning

confidence: 99%

A green vehicle routing problem with customer satisfaction criteria

et al. 2016

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“…ISM has been implemented to analyze factors contributing to vendor selection (Mandal & Deshmukh,1994), production planning (Haleem et al, 2012), supply chain management (Singh, 2011;Qureshi et al 2008), quality management (Sahney, et al 2010), six sigma (Soti et al, 2010), total quality management for airline performance (Singh & Sushil, 2012), exploring the involvement aspect of customers towards greening of the supply chain (Kumar et al 2013).…”

Section: Use Of Ism and Tismmentioning

confidence: 99%

Applying total interpretive structural modeling to study factors affecting construction labour productivity

Sandbhor

Botre

2014

CEB

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Construction sector has always been dependent on manpower with most of the activities being labour intensive. Project productivity, thus, depends directly on productivity of labour. Enhancing labour productivity would contribute to overall success of the project. In order to improve labour productivity, associated factors need due consideration. Total interpretive structural modeling (TISM) is implemented as a methodology for identifying and summarizing relationships among factors which affect productivity of labour. 10 most significant factors negatively affecting construction labour productivity are considered for developing model that establishes interpretive relationship among these factors. The result shows that material shortages, tool/equipment shortages, drawing & specification alterations during execution and working seven days per week without holiday have strong driving power and weak dependence power and are at the lowest level in hierarchy in the TISM model. Lack of labour surveillance and lack of labour experience have strong driving and strong dependence power. Top management of the project must stress on variables having high driving power so as to facilitate improvement in the overall productivity of construction site.

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“…The model has the main aim to develop the direction of complex relationships among elements in a system with each other. The designed model in ISM has the logical structure with some complexity issues (Ansari et al, 2013;Kumar et al, 2013;Jayant & Azhar, 2014). Therefore, the MICMAC analysis is used to develop the hierarchy based on the importance of each variable on others.…”

Section: Methodsmentioning

confidence: 99%

Modeling and analyzing the impact of lean principles on organizational performance using ISM approach

Kumar¹,

Kumar²,

Singh³

2017

10.5267/j.jpm

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Existing literature on lean principles reveals the impact of lean principles on the organizational performance. During the past few years, the Indian manufacturing context has been competing with the global competitors directly to sustain their presence. One of the big motivations behind this is the steps taken in favor of replacing the policies and regulations for the manufacturing context by the government of India. In present, the manufacturing context is still far away to get the sustainable market because of customer perception variation i.e. cost, delivery and quality related issues. To overcome the uncertainties based on the attributes i.e. quality, productivity, delivery etc., almost all the manufacturing units use the basic of lean principle i.e. apply the 5'S. Whereas the heavy industries used the VSM approach especially the automotive product manufacturers. The work presented in this paper gives an insight on the application of lean principles in the manufacturing context and analyzes the impacts using ISM approach.

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Customer involvement in greening the supply chain: an interpretive structural modeling methodology

Cited by 126 publications

References 47 publications

A green vehicle routing problem with customer satisfaction criteria

A green vehicle routing problem with customer satisfaction criteria

Applying total interpretive structural modeling to study factors affecting construction labour productivity

Modeling and analyzing the impact of lean principles on organizational performance using ISM approach

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