Enterprise waste evaluation using the analytic hierarchy process and fuzzy set theory

Lin

Journal of Information and Optimization Sciences

2009

In the past, most pharmacies were founded based on personal knowledge, experience and subjective judgment, without any support from effective evaluation methods regarding success factors. For this reason, it is particularly important and valuable to establish an evaluation method of important factors & indicators for the pharmacies. Through literature review and expert interview, this paper selected and concluded 4 major dimensions and 20 evaluation indicators for pharmacies, and then set up a qualitative and quantitative evaluation indicator model using Fuzzy Delphi Analytic Hierarchy (FDAHP) and Gray Sequencing, thus providing a reference for the evaluation of Taiwan pharmacies.

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on success factors of pharmacies using FDAHP and gray sequencing: Taiwan as Example

Lin

Journal of Information and Optimization Sciences

2009

Proceedings of the Institution of Mechanical Engineers, Part B:

“…Partial disassembly and then forwarding of recyclable materials to the local market with the remainder deposed at landfill sites appeared as the best option and thus selected. Rong et al 14 proposed a method for enterprise waste evaluation that combines the analytical hierarchy process (AHP) and fuzzy set theory and establishes a three-step procedure consisting of evaluation, clustering and ranking. First, a waste evaluation index system is established using the AHP so that the harmfulness of each type of waste can be measured systematically and the more harmful waste sources could be identified.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy analytical hierarchy process extent analysis for selection of end of life electronic products collection system in a reverse supply chain

Shumon

Ahmed

2014

The main purpose of this study is to propose a multi-criteria model for selection of end-of-life electronic products (e-waste) collection system in a reverse supply chain. The pertinent criteria for such decision analysis and selection are determined through an extensive literature review and a questionnaire survey method. On collection systems, a few alternatives are considered for evaluation. Subsequently, fuzzy analytical hierarchy process rating method is used to evaluate the priorities of the criteria and the alternatives. Finally, global weights of the criteria and evaluation score of the alternatives are combined to get the final ranking of the collection systems evaluated. The result demonstrates the relative importance of the criteria for evaluating the alternative collection systems. Also, a real application substantiates the preference of collection system(s) to be selected. The use of this newly proposed fuzzy analytical hierarchy process analytical model indicates that decision-makers can use it to determine the appropriate collection system(s) from a set of available options in a given place or country, where cultural and other parameters are varied. Moreover, this model guides the decision process to be systematic and helps reduce considerable amount of efforts needed conventionally by using the criteria weights generated by fuzzy analytical hierarchy process approach.

American Journal of Applied Sciences

“…Waste reduction, therefore, is the priority of the JIT supply chain. The entire JIT concept consists based on the philosophy underpinning waste identification and its elimination (Karlsson and Ahlstrom, 1996;Rong et al, 2003). Waste allocation and elimination have recently become an important field of research.…”

Section: Science Publicationsmentioning

confidence: 99%

Applying a Just-in-Time Integrated Supply Chain Model With Inventory and Waste Reduction Considerations

Kao

2013

Just-In-Time (JIT) has been playing an important role in supply chain environments. Countless firms have been applying JIT in production to gain and maintain a competitive advantage. This study introduces an innovative model which integrates inventory and quality assurance in a JIT supply chain. This approach assumes that manufacturing will produce some defective items and those products will not influence the buyer's purchase policy. The vendor absorbs all the inspection costs. Using a function to compute the expected amount of total cost every year will minimize the total cost and the nonconforming fraction. Finally, a numerical example further confirms this model.