Showing papers in "Computers & Industrial Engineering in 2011"

TL;DR: MIS and change management throughout the lifecycle of performance measurement, i.e. design, implementation and use stages, and PMS in the context of emerging business environment such as globalization, servitization, and networking in thecontext of multi-cultural environment are discussed.

TL;DR: The induced ordered weighted averaging distance (IOWAD) operator is a new aggregation operator that extends the OWA operator by using distance measures and a reordering of arguments that depends on order-inducing variables.

TL;DR: A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating service quality of urban transportation systems and its practical applicability and ability to provide solution under partial or lack of quantitative information are presented.

TL;DR: The proposed conceptual framework will help practitioners in the field to structure their reverse logistics activities and also help academics in developing better decision models.

TL;DR: In this paper, the authors developed three aggregation operators: generalized 2-tuple weighted average (G-2TWA) operator, generalized 2 -tuple ordered weighted average operator (G2TOWA) operator and induced G-2-TWA operator for multiple attribute group decision making with linguistic information.

TL;DR: A nonlinear model of the scheduling problem is presented, a priority-based heuristic with conflict-avoided, limited backtracking and download-as-needed features is developed and the system performance shows a significant improvement with respect to faster and better scheduling of an earth observing satellite constellation.

TL;DR: A hybrid modified global-best harmony search algorithm for solving the blocking permutation flow shop scheduling problem with the makespan criterion with the largest position value (LPV) rule proposed to convert continuous harmony vectors into job permutations.

TL;DR: Computer results show that m_SAA with a multinomial probability mass function approach is more effective than SA with weight-sum approach in terms of the quality of Pareto-optimal solutions.

TL;DR: This paper analyzes in detail the ordered weighted averaging (OWA) operator and some of the extensions developed about it, and suggests some new extensions about the OWA operator such as the induced heavy OWA (IHOWA), the uncertain heavy O WA (UHOWA)operator and the uncertain inducedHeavy aggregation operator (UIHOWA).

TL;DR: In this paper, a generalized, integrated, supplier-retailer inventory model using a trade credit policy was proposed, in which the supplier offers the retailer a permissible delay period M, and the retailer in turn provides customers a required delay period N.

TL;DR: In this paper, the authors presented mathematical models and a solution approach to determine the optimal preventive maintenance schedules for a repairable and maintainable series system of components with an increasing rate of occurrence of failure (ROCOF).

TL;DR: In this article, the authors consider a two-agent scheduling problem in which the actual processing time of a job in a schedule is a function of the sum-of-processing-times-based learning and a control parameter of the learning function.

TL;DR: An extended grey relational analysis (GRA) method for solving MCDM problems with interval-valued triangular fuzzy numbers and unknown information on criterion weights is developed.

TL;DR: The proposed hybrid Kansei engineering system based on multiple affective responses (MARs) can be applied to a wide variety of product design problems, as well as other MOO problems involving with subjective human perceptions.

TL;DR: A centralized decision model and a proposed cost-sharing contract are presented, able to achieve perfect coordination of the considered channel, where the utility of risk preference is used to determine the fraction of local advertising costs shared by the manufacturer.

TL;DR: This paper presents an integer linear programming model based on the transportation problem to represent the Berth Allocation Problem in Tidal Bulk ports with Stock level conditions (BAPTBS).

TL;DR: A number of non-radial, output-oriented, centralised DEA models are proposed to determine individual and collective output target levels, input slacks and input reallocations as well as additional inputs acquisitions under a capital budget constraint.

TL;DR: An intelligent diagnosis method for a rolling element bearing is presented; the method is constructed on the basis of possibility theory and a fuzzy neural network with frequency-domain features of vibration signals.

TL;DR: A model has been developed for integrating maintenance scheduling and process quality control policy decisions and it provided an optimal preventive maintenance interval and control chart parameters that minimize expected cost per unit time.

TL;DR: The computational results demonstrate that the proposed ILP model and SA algorithm are effective and efficient for this problem.

TL;DR: A comprehensive framework for project selection problem under uncertainty and subject to real-world constraints, like segmentation, logical, and budget constraints, is proposed and implemented in a case study to show its usefulness and applicability in practice.

TL;DR: The objective is to find optimal (for reasonably small cross docks) or near optimal ( for larger cross docking facilities) scheduling policies which minimizes the total costs related to the transshipment operations at the facility.

TL;DR: This paper proposes an approach for manufacturing strategy development based on quality function deployment (QFD), which uses QFD as a transforming device to link competitive factors with manufacturing decision categories such as structural decision categories and infrastructural categories and integrates fuzzy set theory and house of quality (HOQ) in order to provide a structural tool.

TL;DR: It is shown that the VNS approach clearly outperforms heuristics based on the ATCSR dispatching rule in many situations with respect to solution quality and can be used as a subproblem solution procedure for complex job shop decomposition approaches.

TL;DR: This study examines uncertainty from a total cost perspective, with regards to causes of supplier performance and capability on buyer's organization, by combining Bayesian Networks (BN) and Total Cost of Ownership (TCO) methods.

TL;DR: In this article, an integer programming-based heuristic for the multi-depot split delivery vehicle routing problem is proposed. But the heuristic is limited to 30 instances and it cannot be applied to all the instances.

TL;DR: A novel memetic PSO (CGPSO) algorithm which combines the canonical PSO with a Chaotic and Gaussian local search procedure is proposed, which is more effective, faster to converge, and less sensitive to the function dimensions.

TL;DR: In this paper, a robust facility layout is proposed under the dynamic demand environment, which assumes that a layout will accommodate changes from time to time with low rearrangement and production interruption costs, and that the machines can be easily relocated.

TL;DR: The total cost of the hybrid system could be reduced significantly by setting optimum values of the amount of products manufactured and the proportion of the remanufactured part to the returned products.

TL;DR: In this paper, a local search based Pareto genetic algorithm with Minkowski distance-based crossover operator is proposed to approximate the PAREto optimal solutions for the minimization of makespan and total tardiness in a reentrant hybrid flow shop.