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Showing papers in "Computers & Industrial Engineering in 2016"


Journal ArticleDOI
TL;DR: This classification is the first to categorize the articles of the VRP literature to this level of detail and is based on an adapted version of an existing comprehensive taxonomy.

800 citations


Journal ArticleDOI
TL;DR: This paper investigates representative Big Data applications from typical services like finance & economics, healthcare, Supply Chain Management (SCM), and manufacturing sector and discusses current movements on the Big Data for SCM in service and manufacturing world-wide including North America, Europe, and Asia Pacific region.

412 citations


Journal ArticleDOI
TL;DR: This paper presents original literature review research discussing "big data" issues, trends and perspectives in operations/supply-chain management in order to propose "Big data II" (IoT - Value-adding) framework for operation/SC management.

291 citations


Journal ArticleDOI
TL;DR: This paper offers a means to quantify resilience as a function of absorptive, adaptive, and restorative capacities with Bayesian networks, a popular tool to structure relationships among several variables.

248 citations


Journal ArticleDOI
TL;DR: This paper addresses the problem of evaluating green supplier development programs and proposes a fuzzy NGT (Nominal Group Technique)-VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) based solution approach.

239 citations


Journal ArticleDOI
Harish Garg1
TL;DR: A new class of generalized geometric interaction averaging aggregation operators using Einstein norms and conorms are developed, which includes the weighted, ordered weighted and hybrid weighted averaging operators.

208 citations


Journal ArticleDOI
TL;DR: Eight theories that can be used by researchers to examine and clarify the nature of BDPA's impact on supply chain sustainability are reviewed, and research questions based upon this review are presented.

205 citations


Journal ArticleDOI
TL;DR: A model based on integrated fuzzy MCDM methods is proposed for evaluating GSCM performance of companies in terms of green design, green purchasing, green transformation, green logistics and reverse logistics.

189 citations


Journal ArticleDOI
TL;DR: A hybrid MCDM model is proposed in this study for improving FMEA and combines the advantages of interval-valued intuitionistic fuzzy sets (IVIFSs) in coping with uncertainty, vagueness and incompleteness, and the merits of COPRAS and ANP in solving multi-criteria decision making problems.

155 citations


Journal ArticleDOI
TL;DR: Efficient hybrid Genetic Algorithm methodologies for minimizing makespan in dynamic job shop scheduling problem are introduced and detailed numerical experiments are carried out to evaluate the performance of proposed methodologies.

150 citations


Journal ArticleDOI
TL;DR: A review of the state-of-the-art of decision support models that integrate energy aspects into mid-term and short-term production planning of manufacturing companies and shows how considering energy consumption in production planning can contribute to more energy-efficient production processes.

Journal ArticleDOI
TL;DR: A likelihood-based TODIM approach based on multi-hesitant fuzzy linguistic information is developed for the selection and evaluation of contractors in logistics outsourcing and can effectively solve MCDM problems in selecting and evaluating TPLSPs.

Journal ArticleDOI
TL;DR: An inventory model is presented with a selling price-dependent demand rate, a storage time-dependent holding cost, and an order size-dependent purchase cost based on all-units quantity discount.

Journal ArticleDOI
TL;DR: This paper aims at developing a new integrated model in order to determine the optimum location-allocation and distribution plan, along with the best ordering policy for renewing the stocked perishable commodities at the pre-disaster phase.

Journal ArticleDOI
TL;DR: An efficient e-dominance multi-objective evolutionary algorithm (EDMOEA) is developed to solve the presented model and experimental results verify the effectiveness and efficiency of the proposed method for the large-scale QWSC problem.

Journal ArticleDOI
TL;DR: A 5?5 matrix and both classical and fuzzy approaches of FMEA were developed for a sterilization unit to assess and identify the hazards discussed in prior studies and new hazards discovered during this study.

Journal ArticleDOI
TL;DR: A hybrid Self-Learning Particle Swarm Optimization (SLPSO) algorithm in multi-objective framework is proposed to solve the MMPPRP-TW and a comparison with the well-known Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is performed to establish superior computational efficiency.

Journal ArticleDOI
TL;DR: A new multicriteria decision making method to aid the choice and weighting of criteria to be used in the supplier selection process, which combines the fuzzy QFD technique for weighting the criteria with a procedure for assessing the difficulty to obtain information to evaluate the suppliers on each criterion.

Journal ArticleDOI
TL;DR: Results suggest that the carbon emission, fuel cost and fuel consumption constraints can be comfortably added to the mathematical model for encapsulating the sustainability dimensions.

Journal ArticleDOI
TL;DR: The results indicate that the proposed QPSO algorithm is quite effective in reducing makespan because small value of relative deviation is observed, and the performance of schedules is evaluated in terms of total completion time or makespan.

Journal ArticleDOI
TL;DR: The natural degradation is modeled as a Wiener process and the arrival of random shock as a homogeneous Poisson process and damage caused by shocks is integrated into the degradation process, according to the cumulative shock model.

Journal ArticleDOI
TL;DR: A simulated annealing (SA) algorithm that incorporates several neighborhood structures to improve the performance on solving OVRPCD and outperforms existing approaches for vehicle routing problem with cross-docking.

Journal ArticleDOI
TL;DR: The dispatch and conflict-free routing problem for capacitated AGV systems (DCFRPC) is proposed, an integer program of the DCFRPC is presented, and local/random search methods are proposed.

Journal ArticleDOI
TL;DR: This survey explores various research approaches and extensions to the WSN lifetime maximization problem, which include online routing, clustering approaches, and lifetime maximizations on specially structured networks.

Journal ArticleDOI
TL;DR: A dynamic opportunistic condition-based maintenance strategy for multi-component systems that maximizes production efficiency on the premise of ensuring system reliability, and reduces the system operation and maintenance costs is presented.

Journal ArticleDOI
TL;DR: Two new meta-heuristics including genetic algorithm (GA) and artificial immune system (AIS) are developed to find optimal or near optimal solutions to an unrelated parallel machine scheduling problem with resource constrains, sequence-dependent setup times, different release dates, machine eligibility and precedence constraints.

Journal ArticleDOI
TL;DR: A combined framework based on IF-AHP and IF-TOPSIS with GDM methodology for the first time is provided, providing a better insight into the theoretical ground of the PD partner selection problem and supports organizations which aim to improve their PD evaluation systems.

Journal ArticleDOI
TL;DR: This work first incorporates a target identification model to get reachable targets for all DMUs, then several secondary goal models are proposed for weights selection considering both desirable and undesirable cross-efficiency targets of all the DMUs.

Journal ArticleDOI
TL;DR: This paper defines and formulate a mathematical model to minimize both the operational cost and the waiting times of the stations in disequilibrium states and proposes several lower and upper bounds that are incorporated in a branch-and-bound algorithm.

Journal ArticleDOI
TL;DR: The result of the study shows that the most important aspects of hospital supply chain performance are completeness of treatment, no delay in treatment and clinical care process time.