This study describes the application of Fuzzy-AHP for evaluating and selecting an effective green supply chain management strategy in a cement manufacturing industry. As a multi-criteria decision analysis, five decision criteria were considered in the order of their priority to the cement manufacturing industry to evaluate four green supply chain management strategies. This method is used in such a way that the top management of the industry and other experts considered carefully which type of green management perceptive they had, and assessed the importance of each activity objectively to develop the pairwise comparisons, and the result was used in the hierarchy prioritization of criteria and later expressed in fuzzy number with triangular membership function. This method is applied at two levels: the first is finding the fuzzy weights for the decision criteria, while the second is finding the fuzzy weights for the strategies under each of the decision criteria. Fuzzy scores for the strategies were obtained.
This paper describes an application of the Saaty's Analytic Hierarchy Process (AHP) and fuzzy set for selecting the best mode of transportation in Lagos State metropolis. Seven transportation alternatives were considered: private car, okada, keke-napep, train, ferry, commercial bus and taxi. These alternative modes of transportation were evaluated with nine decision criteria: low transportation cost, low environmental effect, large capacity, improved safety, high comfort, high accessibility, improved reliability, low number of interchanges required and faster journey time. This method is used in such a way that information from commuters, who were asked to express their opinions in the ranking of decision criteria, was used in hierarchy prioritization of the criteria and expressed in fuzzy numbers with triangular membership functions. The method is applied at two levels: beginning with the finding of fuzzy weights for the decision criteria, followed by finding the fuzzy weights for the alternatives under each of the decision criteria. Fuzzy scores for the alternatives were obtained.
Abstract:Purpose: This paper aims at proposing a method for evaluating the environmental friendliness of a supply chain department in any organization. Supply chain involves activities that could affect the natural environment and if these activities are not properly evaluated and monitored, it could affect the natural environment and also generate ecological performance change. Design/methodology:The model for the appraisal consists of 5 criteria and 30 subcriteria.The method is applied at 3 levels; beginning with finding the relative weight of the subcriteria under each criterion using Analytic Hierarchy Process (AHP), followed by computing the value associated with each level descriptor in a scale. Some subcriteria have 5 level descriptors (very strong/moderate /weak/very weak / no), some subcriteria have 3 level descriptors (always / sometimes/ never) and some have 2 levels descriptor (yes/no). Finally, the method is concluded by the means of an additive model, whereby the weight associated with each subcriteria is multiplied by the corresponding level descriptor and summed up to get the limit/state. This methodology is called the weighing multiplication and additive model (WMAAM).Findings: Supply chain (SC) involves operational activities and for these activities to be environmental friendly, they have been categorized under criteria namely; green design, green procurement, green manufacturing, environmental management and green marketing. These criteria which consist of 30 subcriteria are evaluated in other to compute the overall environmental friendly appraisal of the SC department.-1316-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1057 Practical implications: The study plays important role in understanding various areas to be monitored and considered during supply chain activities in order to achieve a green supply chain management or an environmental friendly supply chain. Originality/value:The main contribution of this work is to propose an effective methodology that guides SC practitioners on carrying out green performance appraisal of a SC department in any organization.
Data Envelopment Analysis (DEA) is a decision making tool based on linear programming for measuring the relative efficiency of a set of comparable units. DEA helps us identify the sources and level of inefficiency for each of the inputs and outputs. This approach has been used to evaluate the efficiency of the safety department in five construction companies. A three-input, safety workforce, safety training, and safety budget, and two-output, Perfect days and Uptime, constant returns-to-scale (CRS) model was developed. The model indicated the necessary improvements required in the inefficient unit's inputs and outputs to make it efficient, by identifying what factor is responsible for the low efficiency of performance, and also what factor should be improved in order to improve the efficiency of the safety department. The result shows that the safety department of firm A, B and D are efficient, but Firm C and Firm E can improve their efficiency by reducing inputs up to 3.34% and 6.05%, respectively. The inputs identified for reduction were; number of safety staffs and safety budget for Firm C and E respectively.Growing Science Ltd. All rights reserved. 5
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.