A complete cellular manufacturing system design methodology based on axiomatic design principles

Bu makale, fonksiyonel olarak yerleştirilmiş üretim sistemini hücrelerden oluşan üretim sistemine dönüştürmek isteyen tasarımcılar için aksiyomlarla tasarım (AD) prensiplerine göre hazırlanmış bütünsel bir yöntemi sunmaktadır. Bağımsızlık aksiyomuna göre geliştirilen bu yöntem, hücresel üretim sistemi dönüşüm sürecindeki tüm adımları sistematik bir biçimde sağlar. Ayrıca belirlenen performans ölçütlerine göre hücresel üretim sisteminin değerlendirilmesini ve geliştirilmesini sağlayan geri besleme sistemini de içermektedir. Yöntem alüminyum esaslı merdiven, rampa ve köprü ürünleri üreten bir firmada uygulamaya alınmıştır. Uygulama sonucunda elde edilen gelişmeler  yine çalışma kapsamında gösterilmektedir. Anahtar Kelimeler: Aksiyomlarla tasarım, hücresel üretim, uygulama rehberi.Worldwide manufacturing companies should pay attention to the design of the manufacturing systems as well as the design of the products. If the manufacturing systems are not designed properly at the beginning, the target performance can not be achieved in spite of the effort during the planning and controlling. The condition of rivalry nowadays forces that an effective manufacturing system should be formed by cells. When the issues on the design of the cellular manufacturing systems are searched , it is seen that there is not any scientific guiding work about the whole design of the cellular manufacturing systems and their relations in themselves. This paper provides a framework and a road map for people who are ready to transform their traditional production system from process orientation to cellular orientation, based on Axiomatic Design (AD) principles. This guide, which are developed, based on the Independence Axiom, provide necessary steps in transforming an existing process oriented system into a cellular manufacturing systems. A feedback mechanism for continuous improvement is also suggested for evaluating and improving the cellular design against pre-selected performance criteria. A complete implementation of the proposed methodology at a local manufacturing company and resulting performance improvements are also provided. Keywords: Axiomatic design, cellular manufacturing, implementation guide

A decision support system for fuzzy multi-attribute selection of material handling equipments

Effective use of labor, providing system flexibility, increasing productivity, decreasing lead times and costs are some of the most important factors influencing selection of material handling equipment. In this study, a decision support system (FUMAHES: fuzzy multi-attribute material handling equipment selection) considering these factors for material handling equipment selection is developed. FUMAHES consists of a database, a rule-based system and multi-attribute decision making modules. This database includes detailed data about equipment types and their properties. The rule-based system module provides rules, which are utilized by inference engine for determining the most proper material handling equipment type. Ultimately, a final decision is made for the most proper equipment among the alternatives of the same type using the information axiom of axiomatic design principles. Evaluation of alternatives is made for the cases of both complete and incomplete information. This paper also introduces a fuzzy information axiom approach and uses it in the selection of material handling equipment in a real case. © 2005 Elsevier Ltd. All rights reserved

Fuzzy multi-attribute decision making using an information axiom-based approach

Axiomatic design (AD) provides a framework to describe design objects and a set of axioms to evaluate relations between intended functions and the means by which they are achieved. Since AD has the characteristics of multi-attribute evaluation, it is proposed for multi-attribute comparison of some alternatives. The comparison of these alternatives is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. In this chapter, the numeric applications of both crisp and fuzzy AD approaches for the comparison of flexible-manufacturing systems are given. © Springer Science + Business Media, LLC 2008

Evaluation of product design concepts using grey-fuzzy information axiom

Evaluation of product design concepts is an important and critical problem, considering incomplete and imprecise information in the early stages of product design process. In order to solve this problem, grey theory, fuzzy sets and information axiom are combined in this study under the name of grey-fuzzy information axiom for solving product concept evaluation problem for the first time. The information axiom has the capability to solve multi-attribute evaluation problems. Grey and fuzzy set theories are complementary methods for quantification uncertainty. Applicability of the proposed method is demonstrated on the evaluation of dishwasher design concepts. It has been shown that grey-fuzzy information axiom is an appropriate tool to be used for the concept evaluation problem in case of having different types of uncertainties. ©2007 IEEE

Hybrid genetic algorithms for minimizing makespan in dynamic job shop scheduling problem

Job shop scheduling has been the focus of a substantial amount of research over the last decade and most of these approaches are formulated and designed to address the static job shop scheduling problem. Dynamic events such as random job arrivals, machine breakdowns and changes in processing time, which are inevitable occurrences in production environment, are ignored in static job shop scheduling problem. As dynamic job shop scheduling problem is known NP-hard combinatorial optimization, this paper introduces efficient hybrid Genetic Algorithm (GA) methodologies for minimizing makespan in this kind of problem. Various benchmark problems including the number of jobs, the number of machines, and different dynamic events are generated and detailed numerical experiments are carried out to evaluate the performance of proposed methodologies. The numerical results indicate that the proposed methods produce superior solutions for well-known benchmark problems compared to those reported in the literature. © 2016 Elsevier Ltd. All rights reserved

ROUTE SELECTION IN TRANSPORTATION NETWORKS USING INFORMATION AXIOM

Route choice in urban transportation networks is a complex decision making problem for the road users. This decision has resulted in different ways such as increase in transportation cost and negative effects on driver psychology. Travel time, congestion, safety and environmental effects are the important criteria that should be taken in to account in route choice. Selection of the convenient route under determined criteria using the information axiom will be realized in this study. The Information axiom, the second axiom of Axiomatic Design (AD) principles, proposes the selection of the proper alternative that has minimum information content. Axiomatic approach including crisp information axiom for complete information and fuzzy information axiom for incomplete information is used as a tool for the evaluation of alternative routes in Denizli

A methodology for the design of office cells using axiomatic design principles

Office operations play a significant role in organizational performance; however, their contribution to competitive advantage has not adequately been addressed in the literature. In this study, we develop a methodology for designing an efficient office operation using axiomatic design principles. Axiomatic design allows the use of well-understood patterns of all necessary information when formalizing design objectives. We use these principles to design office cells, and claim that this methodology will improve office operations and contribute to business competitiveness through a reduction in customer lead time. We provide a detailed description of the methodology applied to office cell design, which consists of cell formation and operation, as well as the results of a real-world implementation. Our findings indicate that the methodology works well in improving office operations because it eliminates many non-value-added activities.Office cells design Teams Axiomatic design

Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms

The organization of order picking operations is one of the most critical issues in warehouse management. In this paper, novel tabu search (TS) algorithms integrated with a novel clustering algorithm are proposed to solve the order batching and picker routing problems jointly for multiple-cross-aisle warehouse systems. A clustering algorithm that generates an initial solution for the TS algorithms is developed to provide fast and effective solutions to the order-batching problem. Unlike most common picker routing heuristics, we model the routing problem of pickers as a classical TSP and propose efficient Nearest Neighbor+Or-opt and Savings+2-Opt heuristics to meet the specific features for the problem. Various problem instances including the number of orders, weight of items, and picking coordinates are generated randomly, and detailed numerical experiments are carried out to evaluate the performances of the proposed methods. In conclusion, the TS algorithms come out to be the most efficient methods in terms of solution quality and computational efficiency. © Springer Science+Business Media, LLC 2011