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Showing papers on "Goal programming published in 2009"


Journal ArticleDOI
TL;DR: The main contribution of this paper is to enhance the capacity of SMEs to effectively address the challenge of sustainable development through a novel model of prioritizing available management systems.
Abstract: In recent years, sustainable development strategy for enterprises has become an important issue around the globe. There are four management systems (i.e. ISO 9001, ISO 14001, OHSAS 18001, and SA 8000) that can help small and medium enterprises (SMEs) to create sustainable competitive advantages. In view of the fact that the shortage of resources - time, personnel, as well as money - rules most SMEs, this paper proposes a novel hybrid model for selecting optimal management systems under resource constraints, and illustrates the practical application of such a model through an example. This model first applies the Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to construct interrelations among criteria that organizations require. The second step is to obtain the criterion weights through ANP. Lastly, ANP is integrated with a zero-one goal programming (ZOGP) model to obtain optimal alternatives with desired organizational benefits by fully utilizing limited resources. The purpose of this study is to present an integrated approach that could cope with the interdependencies among various criteria and deal with the constraints on resources, and to demonstrate how to select management systems for phased implementation. Therefore, the main contribution of this paper is to enhance the capacity of SMEs to effectively address the challenge of sustainable development through a novel model of prioritizing available management systems.

356 citations


Journal ArticleDOI
TL;DR: A fuzzy goal programming (FGP) approach that integrates activity-based costing (ABC) and performance evaluation in a value-chain structure for optimal GSC supplier selection and flow allocation is proposed.
Abstract: Supply chain operation with sustainable consideration has become an increasingly important issue in recent years. However, the decision framework with integrated costing and performance evaluation for green supply chain (GSC) has not been well developed so far in the literature. For this reason, this paper is aimed to propose a fuzzy goal programming (FGP) approach that integrates activity-based costing (ABC) and performance evaluation in a value-chain structure for optimal GSC supplier selection and flow allocation. The FGP approach is particularly suitable for such a decision model which includes flexible goals, financial and non-financial measures, quantitative and qualitative methods, multi-layer structure, multiple criteria, multiple objectives, and multiple strategies. An activity-based example of structural GSC with relevant costs and performances is presented for computing the composite performance indices of the GSC suppliers. A green supply chain of a mobile phone is used as an illustrative case...

258 citations


Journal ArticleDOI
TL;DR: A novel decision framework for ERP software selection based on quality function deployment (QFD), fuzzy linear regression and zero-one goal programming is developed, which provides the means for incorporating not only the relationships between company demands and ERP system characteristics but also the interactions between ERP System characteristics through adopting the QFD principles.
Abstract: Enterprise resource planning (ERP) systems have gained major prominence by enabling companies to streamline their operations, leverage and integrate business data process. In order to implement an ERP project successfully, it is necessary to select an ERP system which can be aligned with the needs of the company. Thus, a robust decision making approach for ERP software selection requires both company needs and characteristics of the ERP system and their interactions to be taken into account. This paper develops a novel decision framework for ERP software selection based on quality function deployment (QFD), fuzzy linear regression and zero-one goal programming. The proposed framework enables both company demands and ERP system characteristics to be considered, and provides the means for incorporating not only the relationships between company demands and ERP system characteristics but also the interactions between ERP system characteristics through adopting the QFD principles. The presented methodology appears as a sound investment decision making tool for ERP systems as well as other information systems. The potential use of the proposed decision framework is illustrated through an application.

206 citations


Journal ArticleDOI
TL;DR: This paper presents a multi-period inventory lot sizing scenario, where there is single product and multiple suppliers, and an integrated approach of Archimedean Goal Programming (AGP) and Analytic Network Process (ANP) is suggested to solve the order allocation problem.

183 citations


Journal ArticleDOI
TL;DR: A novel integrated model for selecting SRI stocks is proposed and the practical application of such a model through a case study is illustrated and enables the management to obtain the fitting SRI portfolio and achieves the desired spiritual value.
Abstract: In recent years, sustainable development and social responsibility have become important issues around the globe. Investors are interested in the so-called ‘socially responsible investment’ (SRI), an investment strategy that employs criteria other than financial risk and return when selecting firms in which to invest. The practice of SRI shows that there are growing numbers of investors who want to take account of more criteria. Given this worldwide trend, the question arises how these issues can be incorporated into the investment decision process. This paper proposes a novel integrated model for selecting SRI stocks and illustrates the practical application of such a model through a case study. This model first applied the decision making trial and evaluation laboratory (DEMATEL) approach to deal with the interdependencies existing among the criteria of organization requires, and then integrated the DEMATEL, the analytic network process, and the zero-one goal programming method to select an optimal portfolio of SRI. Additionally, we used the sustainability balanced scorecard as a multi-criteria framework for SRI evaluation. This integrated model enables the management to obtain the fitting SRI portfolio and achieves the desired spiritual value.

166 citations


Journal ArticleDOI
15 Dec 2009-Infor
TL;DR: In this article, the authors deal with the buy-and-hold choice of fund portfolios by considering multiple states of nature (future market scenarios) and use stochastic goal programming (SGP) as a satisficing proxy.
Abstract: We deal with the buy-and-hold choice of fund portfolios by considering multiple states of nature (future market scenarios). These states are associated with goals in the sense that the investor pursues to optimize a classical financial objective function as much as possible whatever the states of nature. As this classical function is very cumbersome for handling, a satisficing proxy is used. This proxy is Stochastic Goal Programming (SGP), a recent uncertainty multiobjective model characterized as follows: (a) it relies on Von Neumann and Morgenstern's–Arrow's Eu(R) principles in a framework of bounded rationality; (b) its moderate computational burden allows easy application to large scale problems. In SGP, the variability matrices of goals are aggregated by Arrow's risk aversion coefficients. Concerning the case study, the states of nature are Eurostoxx market index scenarios defined from time series. As an opportunity set of assets, we use a large set of funds managed by an international consu...

157 citations


Journal ArticleDOI
TL;DR: The proposed goal programming models are the first multiple-criteria decision-making approaches for two-sided assembly line balancing problem with multiple objectives and they are capable of improving the value of goals.

148 citations


Journal ArticleDOI
TL;DR: A fuzzy multiple goal programming model is developed to help downstream companies to select thin film transistor liquid crystal display (TFT-LCD) suppliers for cooperation and it can also allocate the purchase among the selected supplier(s).
Abstract: In today's highly competitive environment, a good supply chain relationship is essential for a company to survive and to acquire reasonable profit. While a few large companies may be able to vertically integrate from the design stage to the final distribution of the entire supply chain, most companies can only focus on their specialized functions and to cooperate with upstream or downstream companies. Supplier selection, as a result, is very important for maintaining strategic alliances. The objective of this paper is to develop a fuzzy multiple goal programming (FMGP) model to help downstream companies to select thin film transistor liquid crystal display (TFT-LCD) suppliers for cooperation. Fuzzy analytic hierarchy process (FAHP) is applied first to analyze the importance of multiple factors by incorporating experts' opinion, and these factors include cost, yield and number of suppliers. Multi-choice goal programming is used next to consider the limits of various resources and to formulate the constraints. From the experimental design and examination, we can testify that the proposed model not only can consider multi-choice goals, decision-making behavior and limit of resources, it can also allocate the purchase among the selected supplier(s).

141 citations


Journal ArticleDOI
TL;DR: The priority method on the intuitionistic fuzzy preference relation (IFPR) is proposed and the equivalent interval matrices of the IFPR are introduced in order to avoid the operational difficulty in dealing with the intuitionism sets.

139 citations


Journal ArticleDOI
TL;DR: A multi-product, multi-period mixed-integer linear programming (MILP) model is presented, which addresses the optimization of the recovery processes, while taking into account explicitly the lead times of the disassembly and recovery processes.

132 citations


Journal ArticleDOI
TL;DR: A hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment.

Journal ArticleDOI
TL;DR: A multi-objective, multi-site production planning model integrating procurement and distribution plans in a multi-echelon supply chain network with multiple suppliers, multiple manufacturing plants and multiple distribution centers is proposed in this paper.
Abstract: Motivated by a real case of an automobile company, this study proposes a multi-objective, multi-site production planning model integrating procurement and distribution plans in a multi-echelon supply chain network with multiple suppliers, multiple manufacturing plants and multiple distribution centres The model incorporates four important conflicting objectives simultaneously: minimisation of the total cost of logistics, maximisation of the total value of purchasing, minimisation of defective items and minimisation of late deliveries subject to some realistic constraints Due to the imprecise/fuzzy nature of the objectives’ aspiration levels and some critical data, an interactive fuzzy goal programming formulation is first developed Then, a novel fuzzy approach is proposed to convert the FGP model into an auxiliary crisp formulation to find an efficient compromise solution The proposed model and solution method are validated through some numerical tests Computational results indicate the practicality

Journal ArticleDOI
Ibrahim A. Baky1
TL;DR: This paper presents fuzzy goal programming (FGP) algorithm for solving decentralized bi-level multi-objective programming (DBL-MOP) problems with a single decision maker at the upper level and multiple decision makers at the lower level.

Journal ArticleDOI
TL;DR: A detailed simulation model for healthcare planning in a medical assessment unit (MAU) of a general hospital belonging to the national health service (NHS), UK, and the implications of MAU management preferences to various objectives are presented.

Journal ArticleDOI
TL;DR: An interactive fuzzy goal programming approach for bilevel programming problems with the characteristics of dynamic programming (DP) and a satisfactory solution is derived efficiently by updating the satisfactory degrees of the decision makers with the consideration of overall satisfactory balance between both the levels.

Journal ArticleDOI
TL;DR: This paper addresses the aggregate production planning problem with different operational constraints, including production capacity, workforce level, factory locations, machine utilization, storage space and other resource limitations, by developing a pre-emptive goal programming model.

Journal ArticleDOI
TL;DR: It is shown that, in the case that one of the goals is fully achieved, a fuzzy-efficient solution may not be Pareto-optimal and therefore a general procedure to obtain a non-dominated solution, which is also fuzzy- efficient is proposed.

Journal ArticleDOI
TL;DR: In this paper, an integrated analytical hierarchy process (AHP) and pre-emptive goal programming (PGP) model is used for performance measurement in the context of supply chain.
Abstract: The performance measurement problem has gained great attention in business and operations management literature. The first objective of this study is to determine the required performance measures and to develop a model for performance evaluation, based on these selected measures using analytical hierarchy process (AHP) methodology. The second objective is to explain how an integrated AHP-PGP (pre-emptive goal programming) model can be used in performance measurement while optimising the overall performance. An integration of AHP and multi-objective PGP is used to consider both quantitative and qualitative performance measures in optimising the overall performance of the system. The integrated model is presented with a real-world application using source data provided by a survey conducted in India. Findings demonstrate that the integrated AHP-PGP model can be useful to all supply chain industries in their day-to-day performance measurement decisions.

Journal ArticleDOI
TL;DR: A multi-objective decision aiding model is introduced for allocation of beds in a hospital in China that had serious problems with loss of potential patients in some departments and a waste of hospital beds in others.
Abstract: In this paper, a multi-objective decision aiding model is introduced for allocation of beds in a hospital The model is based on queuing theory and goal programming (GP) Queuing theory is used to obtain some essential characteristics of access to various departments (or specialities) within the hospital Results from the queuing models are used to construct a multi-objective decision aiding model within a GP framework, taking account of targets and objectives related to customer service and profits from the hospital manager and all department heads The paper describes an application of the model, dealing with a public hospital in China that had serious problems with loss of potential patients in some departments and a waste of hospital beds in others The performance of the model and implications for hospital management are presented

Journal ArticleDOI
TL;DR: An improved methodology is suggested, one that uses an integrated approach and reflects the interdependencies between the evaluation criteria and candidate projects.
Abstract: The main purpose of this research was to solve a real-world, multi-criteria, revitalization strategies project selection problem for the historic Alishan Forest Railway in Taiwan by using fuzzy Delphi, analytic network process (ANP), and zero-one goal programming (ZOGP). This required identifying the most cost-beneficial projects for maximizing the net benefit to the public and allocating resources most efficiently. To evaluate different revitalization strategies, we used a hierarchical network model based on various factors, and we present the interactions of those factors. The proposed ANP model consists of a control hierarchy and a network of connections between the clusters of alternatives, actors, and criteria. The strategic criteria were included into the model to rate benefits (B), opportunities (O), costs (C), and risks (R). A synthesis of alternatives was finally obtained using rated BOCR. In this paper, we suggest an improved methodology, one that uses an integrated approach and reflects the interdependencies between the evaluation criteria and candidate projects. The management of the Alishan Forest Railway has implemented the processing system proposed by this research and suggested to the government the best alternative strategies.

Journal ArticleDOI
TL;DR: It is shown that the solution derived from the IWFNLP method satisfies the decision maker's desirable achievement level of the profit objective, ROII objective and shortage cost constraint goal under the desirable possible level of fuzzy demand.

Journal ArticleDOI
TL;DR: A decision support model to help public water agencies allocate surface water among farmers and authorize the use of groundwater for irrigation (especially in Mediterranean dry regions) is developed and recommends using more groundwater than in wet periods in drought periods.

Journal ArticleDOI
TL;DR: In this study, a binary fuzzy goal programming approach is applied to assembly line balancing and models for balancing straight and U-shaped assembly lines with fuzzy goals (the number of workstations and cycle time goals) are proposed.

Journal ArticleDOI
TL;DR: A new idea for programming the multi-segment goal programming (MSGP) problem from multi-aspiration contribution levels viewpoint is provided, which significantly improved the utility of GP in real application.

Journal ArticleDOI
TL;DR: A goal-programming model is proposed for the design of hybrid cellular manufacturing systems, in a dual resource constrained environment, considering many real-world application issues, and the total costs of cross-training, hiring, firing and over-assignment of workers to more than one cell are sought to be minimized.

Journal Article
TL;DR: In this article, a mathematical programming model for location of blood banks among hospitals or clinics, rather than blood bank layout in health care institutions, was derived, which is a hybrid from set covering model of discrete location approaches and center of gravity method of continuous location models, and the objectives are minimizitation of total fixed cost of location blood banks, total traveled distance between the blood banks and hospitals and an inequality index as a fairness mechanism for the distances.
Abstract: This effort derived a mathematical programming model, which is a hybrid from set covering model of discrete location approaches and center of gravity method of continuous location models, for location of blood banks among hospitals or clinics, rather than blood bank layout in health care institutions. It is initially unknown the number of blood banks will be located within capacity, their geographical locations and their covering area. The solution of the model enlightens the initial darkness in a multiobjective view. The objectives, which are handled via binary nonlinear goal programming, are minimizitation of total fixed cost of location blood banks, total traveled distance between the blood banks and hospitals and an inequality index as a fairness mechanism for the distances. A hypothetical numerical example is solved using MS Excel as a powerful spreadsheet tool. The recipe, which is an application of medical operations research, may be a useful tool for health care policy makers.

Journal ArticleDOI
TL;DR: This paper proposes a systematic approach with a feedback mechanism in which the interdependences among positions and the differences among the selected employees are considered simultaneously and achieves the acceptable satisfaction level and requires less computation time than the brute force enumerative method.

Journal ArticleDOI
TL;DR: In this article, a new mixed-integer goal programming (MIGP) model for a parallel-machine scheduling problem with sequence-dependent setup times and release dates is presented.
Abstract: This paper presents a new mixed-integer goal programming (MIGP) model for a parallel-machine scheduling problem with sequence-dependent setup times and release dates. Two objectives are considered in the model to minimize the total weighted flow time and the total weighted tardiness simultaneously. Due to the complexity of the above model and uncertainty involved in real-world scheduling problems, it is sometimes unrealistic or even impossible to acquire exact input data. Hence, we consider the parallel-machine scheduling problem with sequence-dependent set-up times under the hypothesis of fuzzy processing time's knowledge and two fuzzy objectives as the MIGP model. In addition, a quite effective and applicable methodology for solving the above fuzzy model are presented. At the end, the effectiveness of the proposed model and the denoted methodology is demonstrated through some test problems.

Journal ArticleDOI
TL;DR: In this article, the authors point out the real-world prevalence of the multiple-product, multiple-constraint newsboy problem with two objectives: total and incremental discounts on purchasing prices.
Abstract: This article points out the real-world prevalence of the multiple-product, multiple-constraint newsboy problem with two objectives—the ‘newsstand problem’—in which there are total and incremental discounts on purchasing prices. The constraints are the warehouse capacity and the batch forms of the order placements. The first objective of this problem is to find the order quantities that maximize expected profit, and the second objective is maximizing the service rate. It is assumed that the holding and shortage costs, modelled by a quadratic function, occur at the end of the period. Moreover, the decision variables are integer. A formulation of the problem is presented and shown to be an integer nonlinear programming model. Finally, an efficient hybrid algorithm is provided to solve the model and the results are illustrated with a numerical example.

Journal ArticleDOI
TL;DR: A zero-one integer program model that combines the overload of processing time and physical workload with various risk elements is proposed and it is concluded that the model may be very useful for the operation managers to make decisions on their job scheduling efforts.