Mujde Erol Genevois

WEEE treatment strategies' evaluation using fuzzy LINMAP method

Electrical and electronic equipments (EEE) have already begun to be accumulated at the garbage dumps. This garbage accumulation brings big danger to the environment and human health. Thats why one should look for exploring the ways to dispose of these wastes and emphasize the waste treatment strategies. Waste treatment strategies also contribute either to local or global economies by creating a new sector and employment opportunities, and by reducing use of scarce resources. In this paper, a linear programming technique for multidimensional analysis of preference (LINMAP) method for solving multi-attribute group decision making (MAGDM) problems with preference information on alternatives in fuzzy environment is developed. The aim is to develop a fuzzy LINMAP model for evaluation and select of a waste treatment strategy for EEE. Thus, three treatment strategy alternatives and eight criteria are determined. The best strategy is selected and the key criterion is found accordingly. The best alternative is found to be treating waste electrical and electronic equipments (WEEE) by reuse and recycling methods.

Green product design for EEE

Nowadays, manufacturers are facing great challenges with regard to the production of green products due to the emerging issue of hazardous substance management (HSM). In particular, environmental legislation pressures have yielded to increased risk, manufacturing complexity and green components demands. The green principles were expanded to many departments within organization, including supply chain. Green supply chain management (GSCM) was emerging in the last few years. This idea covers every stage in manufacturing from the first to the last stage of life cycle. From product lifecycle concept, the cycle starts at the design of a product. QFD is a customer-driven product development tool, considered as a structured management approach for efficiently translating customer needs into design requirements and parts deployment, as well as manufacturing plans and controls in order to achieve higher customer satisfaction. This paper develops an Eco-QFD to provide a framework for designing Eco-products by integrating the life cycle analysis LCA into QFD throughout the entire product development process.

End-of-Life Tyres Recovery Method Selection in Turkey by Using Fuzzy Extended AHP

This study focuses on ‘Tyres and Tyre related wastes’. End of Life Tyres (ELT) are detected according to waste and waste disposal regulations. Many studies have been conducted in different countries in order to determine the most suitable ELT recovery method. The results vary depending on economical, social and legislative conditions of the country. This research includes a survey on global ELT engendering, ELT disposal methods then focuses on the situation in Turkey. Its aim is to make an ELT disposal method selection for Turkey, considering current conditions. Considering the lack of quantitative data and the presence of qualitative perspectives, the selection has been made using a Multi Criteria Decision Making (MCDM) tool named Analytic Hierarchy Process (AHP). To handle the imprecise nature of the expert judgments, this study proposes the fuzzy extended AHP as selection method.

Environmental Aspects Selection for EEE Using ANP Method

Life Cycle Assessment (LCA) is a tool to assess the environmental aspects, impacts and resources used throughout a product’s life cycle. It is widely accepted and considered as one of the most powerful tools to support decision making processes used in ecodesign. However, since LCA is a cost and time intensive method, the companies do not intend to carry out a full LCA, except for large corporate ones. Especially for small and medium sized enterprises (SMEs), which do not have enough budget for and knowledge on ecodesign approaches, focusing only on the most important possible environmental aspect is unavoidable. In this direction, finding the right environmental aspect to work on is crucial. In this study, a multi-criteria decision making (MCDM) methodology to select environmental aspects for Electrical and Electronic Equipment (EEE) by using Analytic Network Process (ANP) is proposed. The evaluation is made by ANP in order to create a realistic approach to inter-dependencies among the criteria.

Analytic Network Process approach for automatic teller machines deployment problem

Deciding facility location is a hard and sophisticated problem for decision makers as there are many criteria some of which are conflicting and subjective. Determining the location of an automatic teller machine (ATM) for deployment is also a challenging decision for banks which has not been addressed adequately in the literature up to now. Where to locate the automatic teller machines is a strategic and long-term decision therefore making the right decision is important for the banks. In this paper, both qualitative and quantitative criteria that should be considered are defined for ATM deployment problem. The criteria are categorized into main clusters in accordance with their similar characteristics and the interdependencies between them are explained. Analytic Network Process (ANP) methodology is preferred to evaluate the importance levels of these criteria. This study intends to build up a generic framework that can be used afterwards to determine the best locations for off-site ATMs of a bank which cover all customer demand and keep costs at a minimum level in ATM deployment problem. The study also covers the banks which have ATMs or do not have any ATMs and searching for the best locations in order to deploy new ATMs.

Supply Chain Flexibility Metrics Evaluation

The markets in which manufacturers and service firms compete are increasingly influenced by intense foreign competition, rapid technological change, and shorter product life cycles. In this new scenario, flexibility may be one of the most important capabilities needed for firms to achieve competitive advantage. The possible behaviors of the companyto the problems it faces are called levers of flexibilities. In a supply chain, the flexibility of one entity is highly dependent on the flexibility of upstream entities. It is a natural area for metrics. A metric is a standard of measurement of performance and gives the basis on which to evaluate the performance of processes in the supply chain. Thus, the purpose of the study is to determine and evaluate the supply chain flexibility levers in order to calculate the benefit of preferring a flexibility lever to another one. The analytic network process (ANP) technique is used for prioritizing evaluated flexibility levers. We are handling the automotive sector for the study.

An Input–Output Analysis Approach in Waste of Electrical and Electronic Equipments

The disposal of waste of electrical and electronic equipments (WEEE) represents the loss of large amounts of valuable resources, in particular metals and plastics. If these were to be recycled, it would not only divert the waste from disposal by limiting waste flows damage but would also reduce the need to use virgin raw materials. In this study, we focus on waste management and we concentrate on the recycling of mobile phones. Mobile phone components and their requirements in production phases such as energy, labor, and know-how are depicted in a matrix form inspired from the seminal work of Leontief and input–output (I–O) methodology which appears to be appropriate for analyzing waste management problem is presented. Thus, we propose numerically static I–O solutions in order to demonstrate the contribution of recycling of mobile phones into the economy. Particularly, we concentrate on the monetary IO table (MIOT) and environmental IO table (EIOT) with recycling and balance equations. By defining waste outputs as a new vector class, the classical I–O model has been improved.

A Flexibility Based Rapid Response Model in Ready to Wear Sector, in Turkey

In this study, a decision making model is developed by combining fuzzy analytic hierarchy process (FAHP) and quality function deployment (QFD). The purpose of this article is to provide a quick solution to deal with the uncertainties and the risks of the Turkish ready to wear textile sector. In order to accomplish this purpose, customer needs are detailed and ranked using FAHP, and then a two-staged QFD is applied. In here, a house of flexibility is constructed to relate customer needs with the management and manufacturing flexibility levers. Later on, a second house is built to detail down the flexibility levers into system factors. The application of this combined approach is interrogated in an international women’s ready-to-wear firm based in Turkey which targets high consumer segment.

Application of fuzzy AHP to evaluate knowledge based human resource flexibility

Abstract Human resources are one of the main sources of flexibility. In many manufacturing systems human resources are the most expensive, but also the most flexible factors. Therefore, the optimal utilization of human resources is an important success factor contributing to long-term competitiveness. Thus, how to build a knowledge-oriented human resource system and form an appropriate culture, which is suitable for knowledge management, has become one of the most important issues for a company. This paper proposes a fuzzy multicriteria decision making (FMCDM) model to solve the problem of evaluating the knowledge based human resource flexibility.