The aim of this work is to investigate the optimal production and inventory paths of HMMS type models (proposed by Holt, Modigliani, Muth and Simon) on complex time domains. Time scale calculus which is a rapidly growing theory is a main tool for solving and for analyzing the model. This work will enrich management and economics by providing a flexible and capable modelling technique.
Purpose -The purpose of this paper is to provide a structured methodology to permit the optimal selection of the best-suited computerized maintenance management system (CMMS) software within maintenance information technologies. Design/methodology/approach -The analysis has been executed adopting a multi-attribute decision-making methodology, namely the technique for order preference by similarity to an ideal solution (TOPSIS). For the selection process, 17 criteria under five main heading have been defined. Data obtained from questionnaires and interviews with the company's maintenance managers have been used in fuzzy TOPSIS. Findings -The application of the proposed approach allows the maintenance practitioners to concentrate on a limited subset of CMMS applications and to compare their actual capabilities in order to select the right one, rather than considering only their purchase cost. Research limitations/implications -Comparisons with other multi-attribute decision-making techniques such as AHP (analytic hierarchy process) and ELECTRE (elimination and choice expressing reality) under fuzzy conditions can be done for further research. Practical implications -This paper is a very useful source of information both for maintenance managers and stakeholders in making decisions about the selection of CMMS software. Originality/value -This paper addresses CMMS software evaluation and selection criteria for practitioners and proposes a new multi-attribute decision-making methodology, hierarchical fuzzy TOPSIS, for the problem.
disposing of hazardous materials, donation of excess or obsolete inventory to local communities, and training to safely operate forklifts. A sustainable warehousing company would not only have to consider the economic factors, such as rent and operations costs, but also balance the social and environmental effects that occur within the warehouse compound as well as its surrounding vicinity. Sustainable warehouse location selection decision has a crucial role in the supply chain management process. In this study cost, labor, transportation, environment and geographical location are taken as decision criteria. Grey approach is used under the sustainability basis for the warehouse location selection problem. This method is appropriate for solving the group decision-making problem in an uncertain and inconsistent environment. Warehouse location alternatives for the supply chain of the medical companies are evaluated in this study.
The aim of this paper is to identify the quality determinants for education services provided by institutions in the Akdeniz University and to measure their relative importance from the students' points of view. The analysis is based on a multi-criteria preference disaggregation approach for satisfaction benchmarking analysis and consists of the following parts: (1) the student satisfaction analysis, which concerns the identification of student preferences and includes the estimation of the relative importance of the different student satisfaction dimensions, and (2) the satisfaction benchmarking analysis. This study can be used in order to quantify internal quality assessment of the graduate education. More specifically, it'll provide the identification and benchmarking of the strengths and weakness of the graduate education. This gives the ability to identify the most critical improvement actions and adopt the best practices of the graduate education.
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