Template-Type: ReDIF-Article 1.0
Author-Name: A.R. Singh
Author-X-Name-First: A.R.
Author-X-Name-Last: Singh
Author-Name: P.K. Mishra
Author-X-Name-First: P.K.
Author-X-Name-Last: Mishra
Author-Name: Rajeev Jain
Author-X-Name-First: Rajeev
Author-X-Name-Last: Jain
Author-Name: M.K. Khurana
Author-X-Name-First: M.K.
Author-X-Name-Last: Khurana
Title: Robust strategies for mitigating operational and disruption risks: a fuzzy AHP approach
Abstract:
Some supply chains continue to function smoothly and take short time to recover after a major disruption because they possessed 'robust' strategies for mitigating operational and disruption risks. In this paper, some of the strategies are proposed that make the supply chain more efficient and resilient. Linguistic and subjective evaluations take place in questionnaire form to find out the best strategy for mitigating risks in Indian manufacturing industries. Each linguistic variable has its own numerical value in predefined scale. In classical analytical hierarchy process (AHP), these numerical values are exact numbers whereas in fuzzy AHP method they are intervals between two numbers with most likely value. Therefore, fuzzy AHP approach is used because linguistic value can change person to person. In these circumstances, taking the fuzziness in to account will provide results that are not prone to risks. Our finding highlights the ranking of the different strategies to mitigate supply chain risks on the basis of weight and survey data.
Journal: Int. J. of Multicriteria Decision Making
Pages: 1-28
Issue: 1
Volume: 2
Year: 2012
Keywords: SCM; supply chain management; fuzzy AHP; analytical hierarchy process; disruptions; operational risks; disruption risks; risk management; risk mitigation; efficiency; resilience; linguistic evaluations; subjective evaluations; India; manufacturing industry; linguistic variables; numerical values; predefined scales; fuzziness; exact numbers; numerical intervals; weight; survey data; multicriteria decision making; MCDM. 
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Template-Type: ReDIF-Article 1.0
Author-Name: Athanasios Spyridakos
Author-X-Name-First: Athanasios
Author-X-Name-Last: Spyridakos
Author-Name: Yannis Psaromiligkos
Author-X-Name-First: Yannis
Author-X-Name-Last: Psaromiligkos
Author-Name: Lazaros Vryzidis
Author-X-Name-First: Lazaros
Author-X-Name-Last: Vryzidis
Author-Name: Maria Litsardaki
Author-X-Name-First: Maria
Author-X-Name-Last: Litsardaki
Author-Name: Ioannis Salmon
Author-X-Name-First: Ioannis
Author-X-Name-Last: Salmon
Title: Survey forest fire detection systems via multicriteria disaggregation-aggregation approach: the case of Lycabettus Hill
Abstract:
Location of fire detection units in forests is influenced by a set of conflicting parameters representing effectiveness (degree of screening, degree of overlapping), cost of installation and maintenance, reliability and security. This research work proposes a multicriteria methodological frame based on disaggregation-aggregation UTA II method and MIIDAS system in order to support the selection of positions and the arrangement of the fire detection units in the forest. The methodological frame was utilised for a real world application concerning the design of Lycabettus Hill fire detection system.
Journal: Int. J. of Multicriteria Decision Making
Pages: 29-46
Issue: 1
Volume: 2
Year: 2012
Keywords: multicriteria decision aids; civil protection; survey detection systems; forest fires; forests; woods; woodlands; disaggregation approaches; aggregation approaches; Lycabettus Hill; Athens; Greece; fire detection units; conflicting parameters; effectiveness; screening; overlapping; installation costs; maintenance costs; reliability; security; MIIDAS; multicriteria interactive intelligence decision aiding system; UTA II; multicriteria decision making; MCDM. 
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:1:p:29-46

Template-Type: ReDIF-Article 1.0
Author-Name: Abrahams Mwasha
Author-X-Name-First: Abrahams
Author-X-Name-Last: Mwasha
Author-Name: Rupert G. Williams
Author-X-Name-First: Rupert G.
Author-X-Name-Last: Williams
Author-Name: Joseph Iwaro
Author-X-Name-First: Joseph
Author-X-Name-Last: Iwaro
Title: Approach for modelling the sustainable performance of a building envelope for an energy efficient design
Abstract:
Building energy consumption continues to grow in both developing and developed countries despite numerous methods and approaches being developed to address the problem, and a substantial part of this problem is attributed to residential energy consumption. Relying on the current methods of reducing energy consumption to achieve sustainable energy efficiency in residential buildings is not sufficient to handle the current problem. Also, there is little or no concern given to the integrated passive approach of reducing energy consumption. The objective of this paper is to introduce an integrated passive approach using the residential building envelope sustainable performance modelling as an effective means of reducing building energy consumption without rebounding effects. This will involve considering the current methods of assessing building performance and subsequently developing a new approach for modelling the sustainable performance of the residential building envelope. The approach also involves using questionnaire techniques to identify the essential performance indicators that will be integrated into the new modelling approach.
Journal: Int. J. of Multicriteria Decision Making
Pages: 47-73
Issue: 1
Volume: 2
Year: 2012
Keywords: building envelopes; sustainable performance; energy efficiency; energy efficient designs; sustainability; residential buildings; energy consumption; integrated passive approaches; rebounding effects; performance assessment; performance modelling; performance indicators; building energy methods; modelling frameworks; Trinidad; Tobago; construction industry; multicriteria decision making; MCDM. 
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Template-Type: ReDIF-Article 1.0
Author-Name: Manik Chandra Das
Author-X-Name-First: Manik Chandra
Author-X-Name-Last: Das
Author-Name: Bijan Sarkar
Author-X-Name-First: Bijan
Author-X-Name-Last: Sarkar
Author-Name: Siddhartha Ray
Author-X-Name-First: Siddhartha
Author-X-Name-Last: Ray
Title: Comparative evaluation of Indian technical institutions using fuzzy AHP and MOORA
Abstract:
Indian technical education is one of the largest educational systems in the world. Due to liberalisation, privatisation and globalisation, the demand of quality technical education is increasing rapidly to meet the challenges of a developing economy. In this context, the performance evaluation of Indian technical institutions has become a research issue. This paper is focused on the performance evaluation of seven premier Indian Technical Institutions under multi-criteria environment. The aim of this study is to suggest a fuzzy multi-criteria decision making (FMCDM) approach to evaluate the alternative options in respect to the stakeholders' preference. Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative significance coefficients of the evaluation criteria and multi-objective optimisation on the basis of ratio analysis (MOORA) method is applied to rank the alternatives.
Journal: Int. J. of Multicriteria Decision Making
Pages: 74-93
Issue: 1
Volume: 2
Year: 2012
Keywords: fuzzy MCDM; fuzzy AHP; analytical hierarchy process; technical institutions; MOORA; multi-objective optimisation; ratio analysis; rankings; India; comparative evaluation; higher education; universities; liberalisation; privatisation; globalisation; technical education; developing economies; performance evaluation; alternative options; stakeholder preferences; relative significance coefficients; evaluation criteria; multicriteria decision making; MCDM. 
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Template-Type: ReDIF-Article 1.0
Author-Name: Kaveh Khalili-Damghani
Author-X-Name-First: Kaveh
Author-X-Name-Last: Khalili-Damghani
Author-Name: Farhad Hosseinzadeh Lotfi
Author-X-Name-First: Farhad Hosseinzadeh
Author-X-Name-Last: Lotfi
Title: Performance measurement of police traffic centres using fuzzy DEA-based Malmquist productivity index
Abstract:
Decision-making in real life problem, including performance measurement methodologies, usually involves large amount of uncertainty. In this paper, a formulation of performance measurement has been proposed using fuzzy input-oriented DEA-based Malmquist productivity index. The proposed procedure has been applied in measuring the productivity of a real case of Iranian police traffic centres. As the inputs and outputs of the case are assumed to be mixed with a considerable amount of uncertainty, linguistic terms parameterised by fuzzy sets have been supplied to represent the vagueness. The proposed methodology is straightforward and results are promising.
Journal: Int. J. of Multicriteria Decision Making
Pages: 94-110
Issue: 1
Volume: 2
Year: 2012
Keywords: Sten Malmquist; productivity index; Malmquist DEA; data envelopment analysis; performance measurement; uncertainty; fuzzy sets; traffic police; police centres; Iran; linguistic terms; parameterisation; vagueness; multicriteria decision making; MCDM. 
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:1:p:94-110

Template-Type: ReDIF-Article 1.0
Author-Name: Christian Hurson
Author-X-Name-First: Christian
Author-X-Name-Last: Hurson
Author-Name: Kostas Mastorakis
Author-X-Name-First: Kostas
Author-X-Name-Last: Mastorakis
Author-Name: Yannis Siskos
Author-X-Name-First: Yannis
Author-X-Name-Last: Siskos
Title: Application of a synergy of MACBETH and MAUT multicriteria methods to portfolio selection in Athens stock exchange
Abstract:
The MACBETH method consists in aiding a decision analyst to assess a global additive evaluation of a set of actions which are evaluated on multiple criteria. Nevertheless, the weights estimated by this method may not be preferentially independent and constant substitution rates or trade-offs. In order to overcome the legitimacy problem in MACBETH about the assessment of criteria weights an interactive procedure is proposed to explicitly assess tradeoffs between criteria, as it is suggested in multi-attribute utility theory (MAUT). This approach is illustrated in this paper by a real world case study concerning the evaluation of stocks in the Athens stock exchange and the portfolio selection of an investor. In fact, the assessment of the additive value model has been done by combining both MACBETH on a single criterion level and MAUT for the determination of inter-criteria parameters. The monetary value of the selected portfolio has been doubled in a six months investment period.
Journal: Int. J. of Multicriteria Decision Making
Pages: 113-127
Issue: 2
Volume: 2
Year: 2012
Keywords: multiple criteria analysis; measuring attractiveness; categorical-based evaluation technique; MACBETH method; portfolio selection; Athens; criteria tradeoffs; multi-attribute utility theory; MAUT; stock markets; additive value model.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:2:p:113-127

Template-Type: ReDIF-Article 1.0
Author-Name: Evangelia Krassadaki
Author-X-Name-First: Evangelia
Author-X-Name-Last: Krassadaki
Author-Name: Nikolaos F. Matsatsinis
Author-X-Name-First: Nikolaos F.
Author-X-Name-Last: Matsatsinis
Title: Redesigning university courses based on generic skills via multicriteria analysis methods
Abstract:
The academic community, quality assurance organisations and researchers seek to find procedures to support the curricula in order to promote the personal development of students and enhance their employability. In this context, emphasis is placed on the generic skills of students. This paper suggests a process that supports generic skills improvement through an academic course at a traditional university environment, at the initiative of the instructor. This process requires the course redesign and is divided into various aspects, such as: skills' selection, learning outcomes' reformation, assessment procedures and, finally, feedback to the instructor; the most critical of them addressed as multicriteria problems. All the individual aspects to be handled by the instructor, as the decision-maker, are presented in detail, as well as the pilot implementation within a course of a Greek engineering department. The implementation for two consecutive years, although isolated, delivered satisfactory results but also highlighted the students' shortcomings.
Journal: Int. J. of Multicriteria Decision Making
Pages: 128-158
Issue: 2
Volume: 2
Year: 2012
Keywords: multicriteria decision making; MCDM; multicriteria analysis; multicriteria satisfaction measurement; higher education; engineering education; generic skills; skills development; writing skills; speaking skills; communication skills; teamworking skills; course redesign; self-evaluation; assessment; feedback; university courses.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:2:p:128-158

Template-Type: ReDIF-Article 1.0
Author-Name: Theodoros Ntouskas
Author-X-Name-First: Theodoros
Author-X-Name-Last: Ntouskas
Author-Name: Nineta Polemi
Author-X-Name-First: Nineta
Author-X-Name-Last: Polemi
Title: STORM-RM: a collaborative and multicriteria risk management methodology
Abstract:
Risk management (RM) is a necessary process in order to identify, categorise and handle security threats, vulnerabilities and risks of information and communication systems (ICS). Existing RM methodologies for the implementation of standards impose various barriers (e.g., limitation in knowledge gathering, time and resources consumption, and cost) which make them unable to meet the growing needs of the current distributed and complex ICS and their hosting critical data and services. Identifying these weaknesses, we treat RM as a multi-criteria problem and we propose a multi-criteria group decision making methodology STORM-RM for its solution combining the analytic hierarchy process (AHP) with security management standards (ISO27001 and AS/NZS 4360).
Journal: Int. J. of Multicriteria Decision Making
Pages: 159-177
Issue: 2
Volume: 2
Year: 2012
Keywords: risk management; STORM-RM; analytical hierarchy process; AHP; multicriteria decision making; MCDM; collaboration; methodology; group decision making; security management standards.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:2:p:159-177

Template-Type: ReDIF-Article 1.0
Author-Name: Alexandros S. Xanthopoulos
Author-X-Name-First: Alexandros S.
Author-X-Name-Last: Xanthopoulos
Author-Name: Dimitrios E. Koulouriotis
Author-X-Name-First: Dimitrios E.
Author-X-Name-Last: Koulouriotis
Title: Comparing heuristic and evolutionary approaches for minimising the number of tardy jobs and maximum earliness on a single machine
Abstract:
The bi-criterion problem of minimising the number of tardy jobs and maximum earliness on a single machine is investigated experimentally. Two approximate solution approaches are tested. The first one is based on transforming the bi-criterion problem into a series of single-objective sub-problems and then applying a deterministic, heuristic procedure to solve them iteratively. The second approach is based on a multi-objective evolutionary algorithm with random keys encoding scheme. A dataset of 180 problem instances with 50, 100, and 150 jobs was generated randomly in order to evaluate the performance of the two approaches. The Pareto optimal sets computed by the evolutionary approach were consistently under-populated when compared to those of the heuristic however; more than 60% of the solutions found by the heuristic in all instances were dominated by solutions generated by the evolutionary algorithm.
Journal: Int. J. of Multicriteria Decision Making
Pages: 178-188
Issue: 2
Volume: 2
Year: 2012
Keywords: single machine scheduling; heuristics; tardy jobs; multi-objective evolutionary algorithms; maximum earliness; random keys encoding.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:2:p:178-188

Template-Type: ReDIF-Article 1.0
Author-Name: Franck Marle
Author-X-Name-First: Franck
Author-X-Name-Last: Marle
Author-Name: Thierry Gidel
Author-X-Name-First: Thierry
Author-X-Name-Last: Gidel
Title: A multi-criteria decision-making process for project risk management method selection
Abstract:
With projects facing tight constraints, uncertainty and change, they are more than ever exposed to risk. It has thus become increasingly important to effectively and efficiently manage project risks. Project risk management thus plays an important role in the quality and reliability of decisions made during a project. Our objective in this paper is to provide a project office manager or a project manager with one or more adequate project risk management (PRM) methods. To do this, we propose a structured approach based on a multi-criteria decision analysis model to select these methods. Firstly, we propose a list of alternative PRM methods and a list of selection criteria. Secondly, we capture, by interviewing decision-makers, data about their organisation and their preferences. Fuzzy numbers are used to express the relative importance of the criteria. Thirdly, the selection process is run by screening out inadequate methods and by ranking remaining alternatives. An application for one example is presented.
Journal: Int. J. of Multicriteria Decision Making
Pages: 189-223
Issue: 2
Volume: 2
Year: 2012
Keywords: multicriteria decision making; MCDM; fuzzy numbers; method selection; project management; project risk management; PRM; risk identification; risk assessment; group decision making; preference modelling; ranking.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:2:p:189-223

Template-Type: ReDIF-Article 1.0
Author-Name: R.V. Rao
Author-X-Name-First: R.V.
Author-X-Name-Last: Rao
Author-Name: D. Singh
Author-X-Name-First: D.
Author-X-Name-Last: Singh
Author-Name: F. Bleicher
Author-X-Name-First: F.
Author-X-Name-Last: Bleicher
Author-Name: C. Dorn
Author-X-Name-First: C.
Author-X-Name-Last: Dorn
Title: Weighted Euclidean distance-based approach as a multiple attribute decision making method for manufacturing situations
Abstract:
The selection of appropriate alternative in the manufacturing environment is a very important but at the same time a complex and difficult problem because of the availability of wide range of alternatives and similarity among them. So, there is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations. In this paper, a new multi-attribute decision making (MADM) method, 'weighted Euclidean distance-based approach (WEDBA)' is developed and applied to various decision making situations of the manufacturing environment. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Four examples are presented to illustrate the potential of the proposed WEDBA method and the results are compared with the results obtained by using other decision making methods.
Journal: Int. J. of Multicriteria Decision Making
Pages: 225-240
Issue: 3
Volume: 2
Year: 2012
Keywords: multiattribute decision making; MADM; weighted Euclidean distance-based approach; materials selection; green EDM; robot selection; product end-of-life; EOL products; manufacturing industry; fuzzy logic; electro-discharge machining; electrical discharge machining.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:3:p:225-240

Template-Type: ReDIF-Article 1.0
Author-Name: Masatoshi Sakawa
Author-X-Name-First: Masatoshi
Author-X-Name-Last: Sakawa
Author-Name: Ichiro Nishizaki
Author-X-Name-First: Ichiro
Author-X-Name-Last: Nishizaki
Title: Interactive fuzzy programming for multi-level programming problems: a review
Abstract:
Decision-making problems in decentralised organisations are often modelled as Stackelberg games, and they are formulated as two-level mathematical programming problems with two decision-makers. If they do not have any motivation to cooperate mutually and behave rationally, outcomes of the problems can be explained by Stackelberg equilibrium which is not always Pareto optimal. From computational aspects, it is known that solving two-level programming problems is NP-hard even if the objective functions and the constraint functions are linear. In contrast, if the decision-makers can select strategies cooperatively, the most important aspect is to derive a Pareto optimal solution favourable to the decision-makers. As a method of this line of approach interactive fuzzy programming has been developed, taking into account fuzziness of human judgements. In this paper, after reviewing the development of solution methods for two- and multi-level programming problems, we focus on cooperative decision-making in decentralised organisations and give interactive fuzzy programming for two-level linear programming problems, which provides satisfactory solutions in accordance with the preference of the decision-makers. Moreover, we present extensions of interactive fuzzy programming for two-level linear programming problems under multi-objective environments and under uncertainty.
Journal: Int. J. of Multicriteria Decision Making
Pages: 241-266
Issue: 3
Volume: 2
Year: 2012
Keywords: two-level programming problems; Stackelberg equilibrium; Pareto optimal solutions; satisfactory solutions; interactive fuzzy programming; cooperative decision making; modelling; uncertainty.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:3:p:241-266

Template-Type: ReDIF-Article 1.0
Author-Name: Rhonda Aull-Hyde
Author-X-Name-First: Rhonda
Author-X-Name-Last: Aull-Hyde
Author-Name: Kirsten Andrews Davis
Author-X-Name-First: Kirsten Andrews
Author-X-Name-Last: Davis
Title: Military applications of the analytic hierarchy process
Abstract:
About one-fifth of the federal budget is allocated to the US Department of Defence; thus, improvements in military decision-making can potentially slash billions from the federal budget while simultaneously improving operational efficiency in a wide variety of military functions. We provide a comprehensive review of published military applications of AHP that demonstrate actual and potential benefits of using AHP-based methodologies to analyse problems within a military domain. We also offer resulting insights on implementation, research trends, integrated methodologies as well as conjectures regarding current use of AHP by practitioners in military applications.
Journal: Int. J. of Multicriteria Decision Making
Pages: 267-281
Issue: 3
Volume: 2
Year: 2012
Keywords: analytical hierarchy process; AHP; military applications; military decision making.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:3:p:267-281

Template-Type: ReDIF-Article 1.0
Author-Name: Boppana V. Chowdary
Author-X-Name-First: Boppana V.
Author-X-Name-Last: Chowdary
Title: Production planning in a machine tool company: application of a linear lexicographic goal programming approach
Abstract:
This paper describes a multi-objective goal programming (MOGP) model that has been developed for a machine tool manufacturing industry to find the optimum production plan as a means to know what products to be considered and how much to be produced. Performance criteria such as gross profit, product quality, machine utilisation, production cost and work-in-process (WIP) inventory were identified as multi-objectives. Lexicographic goal programming modelling approach was applied to solve the proposed multi-objective model. In order to demonstrate the capability of the developed linear MOGP model, a pre-emptive goal priority structure has been formulated in consultation with the company. The sensitivity of the MOGP model was tested with respect to alterations in the order of goal priorities and changes in parameter values. The insights gained from the sensitivity analysis will assist the similar companies to find out an optimal level of production activities on par with the organisational goals.
Journal: Int. J. of Multicriteria Decision Making
Pages: 282-310
Issue: 3
Volume: 2
Year: 2012
Keywords: production planning; machine tool industry; multiobjective goal programming; MOGP; modelling; lexicographic goal programming; pre-emptive goals; gross profit; product quality; machine utilisation; production costs; work-in-process; WIP inventory.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:3:p:282-310

Template-Type: ReDIF-Article 1.0
Author-Name: Luis Daniel Otero
Author-X-Name-First: Luis Daniel
Author-X-Name-Last: Otero
Author-Name: Grisselle Centeno
Author-X-Name-First: Grisselle
Author-X-Name-Last: Centeno
Author-Name: Carlos E. Otero
Author-X-Name-First: Carlos E.
Author-X-Name-Last: Otero
Author-Name: Alex J. Ruiz-Torres
Author-X-Name-First: Alex J.
Author-X-Name-Last: Ruiz-Torres
Title: A fuzzy goal programming model for skill-based personnel assignments
Abstract:
This research develops a fuzzy goal programming (FGP) model for personnel assignment decisions in skill-based environments. Although FGP has been applied to various areas within the management science and operations research literature, a FGP model has not been proposed within the skill-based personnel assignment literature. The paper develops a methodology denoted as membership function relaxation to directly involve decision makers in the process of constructing fuzzy sets and determine priorities of assignment criteria, thus resulting in a more complete decision structure for assignment problems that could lead to higher practical values. An assignment problem in a software development industrial setting is presented to demonstrate the proper implementation of the solution approach. Two software engineering field experts acted as decision-makers and participated in the development of the fuzzy sets for the goals.
Journal: Int. J. of Multicriteria Decision Making
Pages: 313-337
Issue: 4
Volume: 2
Year: 2012
Keywords: fuzzy goal programming; FGP; personnel assignments; skill-based environment; assignment decisions; fuzzy sets; fuzzy logic; software development; software engineering; decision making; multicriteria decision making; MCDM.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:313-337

Template-Type: ReDIF-Article 1.0
Author-Name: Mariano Jiménez
Author-X-Name-First: Mariano
Author-X-Name-Last: Jiménez
Author-Name: Juan A. Rivas
Author-X-Name-First: Juan A.
Author-X-Name-Last: Rivas
Author-Name: Carmen Puerta
Author-X-Name-First: Carmen
Author-X-Name-Last: Puerta
Title: Regional forest planning using multiobjective programming and goal programming
Abstract:
This paper aims to determine alternative tree species compositions in a geographical region. Sustainable forest management has become increasingly complex, involving competing uses and stakeholders. In order to measure forest sustainability a system of Pan-European indicators has been elaborated. Through pairwise comparison matrices we determine the relative importance assigned by each stakeholder to each criterion. We, then, formulate several multiobjective programming models, one for each stakeholder, whose solutions are the planning options preferred by the corresponding stakeholder. In order to obtain a consensus option, we formulate a GP model in which: a) the aspiration level of each indicator is the weighted sum of the values achieved in each option, considering the relative importance of the stakeholders; b) the weight of each criterion is the weighted sum of the weights proposed for each stakeholder, according to their relative importance. We apply our procedure to a province of Spain.
Journal: Int. J. of Multicriteria Decision Making
Pages: 338-354
Issue: 4
Volume: 2
Year: 2012
Keywords: multiobjective programming; goal programming; sustainable forest management; regional planning; forest planning; stakeholders; pairwise comparison matrix; sustainability; sustainable development; alternative tree species; Spain; forestry; multicriteria decision making; MCDM.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:338-354

Template-Type: ReDIF-Article 1.0
Author-Name: Salima Amrouche
Author-X-Name-First: Salima
Author-X-Name-Last: Amrouche
Author-Name: Mustapha Moulaï
Author-X-Name-First: Mustapha
Author-X-Name-Last: Moulaï
Title: Multi-objective stochastic integer linear programming with fixed recourse
Abstract:
The real life decision problems have three main properties. The first one is to have conflicting objectives in the problem structure, the second one is the stochasticity in the description of problem parameters in contexts where the probability distribution of random parameters is known and the last one is due to involvement of integer decision variables which increased dimension of the problem. Multi-objective nature with discrete variables and imprecise parameters make the mathematical expression of the problem harder to solve with the traditional approaches. An efficient algorithm is developed, via extending the well-known L-shaped method using generalised benders decomposition to efficiently handle the integer variables in the first stage and the integer recourse in the second stage of the model formulation. The proposed solution method able to identify all efficient integer feasible solutions converge in a finite number of iterations. A numerical example and a computational implementation are also included for illustration.
Journal: Int. J. of Multicriteria Decision Making
Pages: 355-378
Issue: 4
Volume: 2
Year: 2012
Keywords: multiple objective integer programming; branch and cut; stochastic programming; efficiency; integer variables; integer recourse; model formulation; decision variables; multicriteria decision making; MCDM.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:355-378

Template-Type: ReDIF-Article 1.0
Author-Name: Belaïd Aouni
Author-X-Name-First: Belaïd
Author-X-Name-Last: Aouni
Author-Name: Cinzia Colapinto
Author-X-Name-First: Cinzia
Author-X-Name-Last: Colapinto
Author-Name: Davide La Torre
Author-X-Name-First: Davide La
Author-X-Name-Last: Torre
Title: Stochastic goal programming model and satisfaction functions for media selection and planning problem
Abstract:
In the knowledge society characterised by audience fragmentation and new media consumption, the success of a media campaign relies more on the effectiveness of the chosen media to achieve the desired aspiration levels. A media planner has limited financial resources and aims to get the best return on investment in terms of attention and engagement with potential customers, and at the same time to minimise total costs of advertising and communication. These objectives are conflicting, commensurable and their evaluations are generally stochastic. In this paper, we present a stochastic multi-objective approach for media planning decision-making and we propose two different goal programming formulations with satisfaction function based on scenario forecasting and deterministic equivalent. The proposed models will be illustrated through a numerical simulation based on data from the Italian market.
Journal: Int. J. of Multicriteria Decision Making
Pages: 391-407
Issue: 4
Volume: 2
Year: 2012
Keywords: media selection; media planning; stochastic programming; multiobjective programming; goal programming; preference modelling; satisfaction function; media campaigns; multicriteria decision making; MCDM; scenario forecasting; deterministic equivalents; numerical simulation; Italy; advertising; communication.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:391-407

Template-Type: ReDIF-Article 1.0
Author-Name: Abdul Sattar Safaei
Author-X-Name-First: Abdul Sattar
Author-X-Name-Last: Safaei
Author-Name: Reza Baradaran Kazemzadeh
Author-X-Name-First: Reza Baradaran
Author-X-Name-Last: Kazemzadeh
Author-Name: Seyed Taghi Akhavan Niaki
Author-X-Name-First: Seyed Taghi Akhavan
Author-X-Name-Last: Niaki
Title: Multiobjective design of an S control chart for monitoring process variability
Abstract:
Optimally determining parameters of the control chart is a critical task for control chart designer to improve the processes. However, difficulty in an accurate estimation of various cost and process parameters is one of the barriers while someone desire to determine these parameters by means of economic approach. In order to reduce cost penalties for not knowing the true values of the parameters and to study the impact of further improvement in detection power of the chart on the economic performance of the S control chart, this paper aims to develop a multiobjective model of the economic-statistical design of the S control chart to minimise the mean hourly loss cost as well as minimising average time to signal and maintaining reasonable in-control average run length. We show that the proposed model gives more practical outcomes in comparison with the existing economic design models.
Journal: Int. J. of Multicriteria Decision Making
Pages: 408-424
Issue: 4
Volume: 2
Year: 2012
Keywords: multiobjective economic-statistical design; S control charts; Taguchi methods; loss function; average total loss; ATL; NSGA-II algorithm; process variability; immeasurable costs; multicriteria decision making; MCDM; process monitoring; process variability; SPC; statistical process control; control chart design; economic design.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:408-424

Template-Type: ReDIF-Article 1.0
Author-Name: Mouna Mezghani
Author-X-Name-First: Mouna
Author-X-Name-Last: Mezghani
Author-Name: Taicir Loukil
Author-X-Name-First: Taicir
Author-X-Name-Last: Loukil
Title: Remanufacturing planning with imprecise quality inputs through the goal programming and the satisfaction functions
Abstract:
In this paper, a tactical production-planning problem for remanufacturing is considered where inputs have different and imprecise quality levels. This situation is typical of most remanufacturing environment, where inputs are product returns (also called cores). Remanufacturing costs increase as the quality level decreases and any unused cores may be salvaged at a value that increases with their quality level. The aim of this paper is to develop a goal programming (GP) formulation within imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilised to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.
Journal: Int. J. of Multicriteria Decision Making
Pages: 379-390
Issue: 4
Volume: 2
Year: 2012
Keywords: remanufacturing; aggregate production planning; APP; imprecise goal programming; satisfaction function; imprecise inputs; uncertainty; product returns; multicriteria decision making; MCDM.
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Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:379-390