Showing papers in "Computers & Industrial Engineering in 2009"

TL;DR: This paper defines VRP's domain in its entirety, accomplishes an all-encompassing taxonomy for the VRP literature, and delineates all ofVRP's facets in a parsimonious and discriminating manner.

TL;DR: The key concepts related to CNOs are described, a high level classification of collaborative networks is provided, and some application cases in the manufacturing industry are presented.

TL;DR: The computational results have proved that the proposed hybrid algorithm is an efficient and effective approach to solve the multi-objective FJSP, especially for the problems on a large scale.

TL;DR: A mathematical model is proposed that can be used to design the supply chain and manage the logistics of a biorefinery and uses the State of Mississippi as the testing ground of this model.

TL;DR: A mathematical model for the design of a reverse logistics network is proposed and it is assumed that the returned products need to be consolidated in the warehouse before they are sent to reprocessing centres for inspection and dismantling.

TL;DR: A case PCB manufacturing firm is studied and the results indicated that the proposed evaluation framework is simple and reasonable to identify the primary criteria influencing the SCMS, and it is effective to determine the optimal supplier even with the interactive and interdependent criteria/attributes.

TL;DR: A solution procedure based on steady-state genetic algorithms (ssGA) with a new encoding structure for the design of a single-source, multi-product,Multi-stage SCN is presented.

TL;DR: An EPQ type inventory model with planned backorders for determining the economic production quantity for a single product, which is manufactured in a single-stage manufacturing system that generates imperfect quality products, and all these defective products are reworked in the same cycle is developed.

TL;DR: Two mathematical models for path selection in emergency logistics management are presented considering more actual factors in time of disaster and a multi-objective path selection model is presented to minimize the total travel time along a path and to minimizing the path complexity.

TL;DR: This paper presents two solution representations and the corresponding decoding methods for solving the capacitated vehicle routing problem (CVRP) using particle swarm optimization (PSO) and shows that representationSR-2 is better than representation SR-1 and also competitive with other methods for solve CVRP.

TL;DR: This work identifies optimal co-op advertising and pricing strategies for both firms mostly analytically but it has to resort to numerical simulations in one case.

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.

TL;DR: An approach to address the two-sided mixed-model assembly line balancing problem with an ant colony optimisation algorithm is presented and results of a computational experience that exhibit its superior performance are presented.

TL;DR: A mathematical model of remanufacturing system as three-stage logistics network model for minimizing the total of costs to reverse logistics shipping cost and fixed opening cost of the disassembly centers and processing centers is formulated.

TL;DR: A fuzzy ANP-based approach is proposed to evaluate a set of conceptual design alternatives developed in a NPD environment in order to reach to the best one satisfying both the needs and expectations of customers, and the engineering specifications of company.

TL;DR: This study evaluates the performance of synthetic SPIs by adopting fuzzy measure and analytical network process (ANP) method in a multi-nation original equipment manufacturing firm and indicates that the ANP is an effective method for identifying the primary criteria influencing SPIs at case firms.

TL;DR: An efficient genetic algorithm (GA) is presented to solve an extended storage space allocation problem (SSAP) in a container terminal and the extended SSAP is solved by an efficient GA for real-sized instances.

TL;DR: This work considers the problem of consensus of multiple attribute group decision making, and develops an automatic approach to reaching consensus among group opinions by using the additive weighted aggregation (AWA) operator to derive the overall attribute values of alternatives.

TL;DR: A new mathematical model and a simulated annealing algorithm are presented for the mixed-model two-sided assembly line balancing problem and the experimental results show that the proposed approach performs well.

TL;DR: This paper addresses the problem of determining the berthing position and time of each ship as well as the number of quay cranes assigned to each ship by introducing a formulation for the simultaneous berth and quay crane scheduling problem.

TL;DR: This paper discusses how a manufacturer and its retailers interact with each other in order to optimize their individual net profits by adjusting product marketing (advertising and pricing) and inventory policies in an information-asymmetric VMI (vendor managed inventory) supply chain.

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.

TL;DR: The confirmation experiment verifies the proposed grey-based Taguchi method has the ability to find out the optimal process parameters with multiple quality characteristics and can reduce the opportunities of repair and rework of Cr thin-film and raise the yield.

TL;DR: A new metric, energy cost, is introduced to consider a balance of sensors' remaining energies, as well as energy efficiency, which gives rise to the distributed energy balanced routing (DEBR) algorithm devised to balance the data traffic of sensor networks in a decentralized manner and consequently prolong the lifetime of the networks.

TL;DR: It has been demonstrated in large-scale field trials that product related services can be delivered through the PSS built utilizing the methodology proposed, and can contribute to next generation product design, which will be intelligent, sustainable and environmentally sensitive.

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.

TL;DR: A fuzzy analytic network process process (ANP) model to evaluate the potential suppliers and select the best one(s) with respect to the vendor important factors is developed by fuzzy sets theory to cover the indeterminacy of decisions made in this field.

TL;DR: This study presents a type II robotic assembly line balancing (rALB-II) problem, in which the assembly tasks have to be assigned to workstations, and each workstation needs to select one of the available robots to process the assigned tasks with the objective of minimum cycle time.

TL;DR: A generic quantitative model to comprehensively assess the degree of collaboration with individual horizontal collaboration initiatives with a view to check feasibility for satisfying the customer requirements is provided.

TL;DR: Proposing equations analogous to those of the classical PSO equations, a discrete PSO algorithm (DPSO) is presented to minimize makespan (C"m"a"x) criterion and results signify that the proposed DPSO algorithm is very competitive and can be rapidly guided when hybridizing with a local search heuristic.