Huseyin Selcuk Kilic

Selecting The Best ERP system for SMEs using a combination of ANP and PROMETHEE methods

ERP system selection is a complex multi-criteria decision making process.Imprecision and large-number of criteria are among the most important challenges.Use of a hybrid methodology improves the decision outcomes.ANP and PROMETHEE are collectively and synergistically used in this study.The proposed methodology produced satiating results for SMEs. Enterprise Resource Planning (ERP) system, which integrates all of the units within an organization at the information level, plays an important role for a successful enterprise. With the right ERP system, it is easier to provide coordination between the units, eliminate waste and make faster and better decisions. Adopting an ERP system is a significant investment decision for a firm, therefore a great deal of attention should be given to the selection of the right system. Since there are a large number of criteria to consider in selecting an ERP system, the process itself is regarded as a complex multi-criteria decision making problem. In this study, two prevalent multi-criteria decision making techniques, Analytic Network Process (ANP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), are used in combination to better address the ERP selection problem. First, ANP is used to determine the weights of all criteria, and then, the obtained weights are used in the PROMETHEE method for optimal ranking of the alternative system choices. To demonstrate the viability of the proposed methodology, an application case is performed on the ERP selection problem for the Small Medium Enterprises (SMEs) in Istanbul, Turkey. The proposed hybrid methodology successfully ranked the alternatives and identified the best ERP system based on the information obtained from a number of SMEs participated in this study.

A two stage approach for supplier selection problem in multi-item/multi-supplier environment with quantity discounts

The main structure of the proposed approach.Display Omitted First stage employs Fuzzy AHP to find the relative weights of criteria.Second stage runs the proposed MILP model to select the best suppliers.A case study is performed to select a maximum of 3 among 6 suppliers.Considering 4 criteria: price, quality, delivery time, and after sales performance.To purchase 5 items in case of all-unit quantity discount allowed. Supplier selection, which is the basic process of finding the best supplier/suppliers to procure the items regarding various criteria, is an important decision problem to be studied. It becomes more complicated if there are various items and any supplier cannot provide all types of items individually. Such situations are called multi-item, multi-supplier environments and rarely studied in the literature. In addition, when quantity discounts are also considered, it gets more sophisticated. Although there are several studies dealing with these aspects separately, to the best knowledge of the authors, this study is the first candidate attempting to solve this type of problem with an integrated approach including Fuzzy Analytical Hierarchy Process (F-AHP) and Mixed Integer Linear Programming (MILP) model.This study mainly operates in two stages. In the first stage, the relative weights of each criterion for each type of item are determined via F-AHP technique. In the second stage, these outputs are used as inputs in the MILP model to determine the suppliers and the quantities to be provided. In order to validate the model, an application is performed in a gear motor company and numerical results of the problem are revealed to select the best suppliers among 6 alternatives, for the procurement of 5 items regarding 4 criteria, namely, price, quality, delivery time performance, and after sales performance, in case of quantity discounts.

Development of a hybrid methodology for ERP system selection

Enterprise resource planning (ERP) systems that aim to integrate, synchronize and centralize organizational data are generally regarded as a vital tool for companies to be successful in the rapidly changing global marketplace. Due to its high acquisition-purchasing, installation and implementation-cost and the wide range of offerings, the selection of ERP systems is a strategically important and difficult decision. Since there is a wide range of tangible and intangible criteria to be considered, it is often defined as a multi-criteria decision making problem. To overcome the challenges imposed by the multifaceted nature of the problem, herein a three-stage hybrid methodology is proposed. The process starts with the identification of most prevailing criteria through a series of brainstorming sessions that include people from different organizational units. Then, due to the varying importance of the criteria, a fuzzy Analytic Hierarchy Process, which handles the vagueness inherent in the decision making process, is used to obtain the relative importance/weights of the criteria. These weighted criteria are then used as input to the Technique for Order Preference by Similarity to Ideal Solution method to rank the decision alternatives. As a real-world illustrative case, the proposed methodology is applied to the ERP selection problem at Turkish Airlines. Because of the collaborative and systematic nature of the methodology, the results obtained from the process were found to be highly satisfactory and trustworthy by the decision makers. ERP system selection is a complex multi-criteria decision making process.Imprecision and large-number of criteria are among the most important challenges.Use of a hybrid methodology improves the decision outcomes.Fuzzy logic, AHP and TOPSIS are collectively and synergistically used in this study.The proposed methodology produced encouraging results to the ERP selection problem.

Advances in assembly line parts feeding policies: a literature review

Purpose – The purpose of this paper is to present a literature review on parts feeding policies and to provide the components of parts feeding systems via a classification structure. Design/methodology/approach – This paper determines the scope and components of parts feeding systems via a classification structure under three main components such as the storage of parts, transport of parts and feeding policy. Afterward, it is focused on parts feeding policies and the related papers are reviewed and analyzed according to their feeding policy types, objectives, solution methodologies and the application types. Findings – A classification structure showing the components and scope of parts feeding systems is provided. Parts feeding policies are handled in detail and feeding policy types, objectives, solution methodologies and application types in the existing studies are presented in this paper. However, the paper highlights the open research areas and advances for academics and presents applied solution met...

Design of kitting system in lean‐based assembly lines

Purpose – The purpose of this paper is to develop a mathematical model for designing the kitting system by determining the optimum values of the related design parameters.Design/methodology/approach – Main assembly feeding systems are explained with their advantages and disadvantages. Related literature is reviewed and gaps are determined. To fill the void and to be beneficial for real life lean assembly systems, the elements of the kitting system are explained in detail and a mathematical model minimizing the cost consisting of Work In Process (WIP) and number of workers for the design of a kitting system is developed. A numerical example is presented to demonstrate the applicability of the model.Findings – This paper provides a mathematical model that provides the required design parameters for a kitting system such as the tour period, the number of workers and the quantities of the kits by minimizing WIP and labor costs.Originality/value – The paper provides a mathematical model for the design of a kit...

A Hybrid Weighting Methodology for Performance Assessment in Turkish Municipalities

Performance assessment systems play an important role for controlling and improving a system. In case a robust performance assessment system is established, it will be easier and more trustable to make decisions. Although performance assessment systems have been applied in private sector for a long time, it can be regarded as new for the municipalities in Turkey. As a result of the legal compulsories, every municipality satisfying the conditions has to prepare a strategic plan and a performance program related with it. Performance assessment is carried out by considering the performance program of the municipalities. With this study, after the observations of performance assessment studies in some of the municipalities, a hybrid weighting methodology depending on ranking and fuzzy pairwise comparison is proposed. After giving the related literature about the performance assessment systems in municipalities, existing and proposed methodologies are explained and differences are indicated. For showing the applicability of the proposed model, a numerical example inspired by the real applications is developed and the proposed methodology is executed.