Showing papers in "Journal of Manufacturing Systems in 2016"

TL;DR: A review of both the tangible and intangible elements of manufacturing systems and a state-of-the-art survey of published work can be found in this article, where the evolution of research in manufacturing starting from past and current trends to future developments is discussed.

TL;DR: The objective of this research is to provide a concept map and associate a CPS with holons, agents and function blocks for the ease of system implementation in decentralised or cloud environment.

TL;DR: In this paper, a service-oriented cloud-based software framework comprising two services is proposed to generate non-linear process plans using event-driven function blocks and a genetic algorithm.

TL;DR: In this paper, a multi-objective genetic algorithm based on non-dominated sorting genetic algorithm II is designed to address the problem of disassembly service in cloud-based disassembly system.

TL;DR: In this paper, the authors explored the key drivers that contribute to the design of resilient supply chains based on the notion of absorptive, adaptive and restorative capacities and introduced a generic conceptual framework comprising five key phases: threat analysis, resilience capacity design, resilience cost evaluation, resilience quantification, and resilience improvement.

TL;DR: In this article, a multiobjective multi-period multi-product multi-site aggregate production planning model is presented in a green supply chain considering a reverse logistic (RL) network, where products are scored in terms of environmental criteria such as recyclability, biodegradability, energy consumption and product risk.

TL;DR: A new modelling methodology for compensation of the thermal errors on a gantry-type 5-axis CNC machine tool using a “Grey Neural Network Model with Convolution Integral” (GNNMCI(1, N)), which makes full use of the similarities and complementarity between Grey system models and artificial neural networks to overcome the disadvantage of applying either model in isolation.

TL;DR: In this paper, the authors consider a set of parallel machines and find a schedule that minimizes the makespan (schedule length) or the total completion time, subject to the constraint that the total cost is not more than a given threshold value.

TL;DR: In this article, a hybrid systematic method is proposed to obtain high tooth contact performance by modifying machine-tool settings, including residual ease-off, maximum contact pressure, maximum loaded transmission error, and contact ratio.

TL;DR: In this paper, a new bi-objective mathematical model of the Dynamic Cell Formation Problem (DCFP) is proposed, in which the worker assignment, environmental and social criteria are considered.

TL;DR: In this paper, the authors developed a capacitated multi-echelon joint location-inventory model, according to which a single product is distributed from a manufacturer to retailers through a set of warehouses, the locations of which are to be determined by the model.

TL;DR: In this study, a beam search (BS) based approach for the DLB problem is proposed and minimization of number of workstations is used as the performance measure.

TL;DR: In this article, an entire qualification procedure for electron beam melting (EBM) to reproduce and repair an aerospace part has been developed and it is presented in this paper, which will be part of the future quality assurance and quality management systems of those aerospace companies that implement AM in their supply chain.

TL;DR: In this article, a closed-loop measurement-modification-manufacturing (3M) model for high-performance manufacture of the spiral bevel and hypoid gear is established.

TL;DR: In this paper, a mixed integer non-linear program (MINLP) is proposed to describe both the forward and reverse flow of a single type of product, through a set of warehouses whose location is determined based on whether they serve as forward, reverse or joint warehouses dealing with products from both directions.

TL;DR: In this paper, a simple and practical modeling and design of multi criteria optimization for lower disassembly cost, higher recycling, and CO 2 saving rates by an environmental and economic parts selection, and subsequent disassembly line balancing is proposed.

TL;DR: In this paper, a graph theoretic invariant, Fiedler number (λ2), is used as a discriminant of workpiece surface roughness to estimate surface finish.

TL;DR: In this paper, an enhanced Pareto-based bees algorithm (EPBA) is proposed to solve the multi-objective problem, which is related to multi-conditions of manufacturing equipment services.

TL;DR: In this paper, a metamodel-based Monte Carlo simulation (MCS) method is developed to accurately capture the dynamic, stochastic behavior of a manufacturing system, and to allow real-time evaluation of a release plan's performance metrics.

TL;DR: In this article, a monitoring algorithm targeting near-zero misdetection is developed by integrating univariate control charts and the Mahalanobis distance approach, which is capable of monitoring non-normal multivariate observations with flexible control limits.

TL;DR: In this article, the effect of different sets of values of creep parameter in Garofalo-Arrhenius constitutive creep relation has generated distinct magnitude of creep strain ( ɛ acc ) and strain energy density ( ω acc ) for the same set of solder joints in electronic assemblies.

TL;DR: In this paper, the authors proposed a Carbon Market Sensitive (CMS) and a green decision making approach based on Data Envelopment Analysis (DEA) called CMS-GDEA, which builds on an existing Green DEA model and modifies it to include a carbon market model.

TL;DR: In this article, a bi-objective model is proposed to find a joint schedule of production and distribution to optimize the customers' service level, measured as the mean delivery time and the total transportation cost.

TL;DR: In this paper, a multi-state weighted k-out-of-n system consisting of different types of reparable components is optimized to maximize system reliability and minimize system cost simultaneously.

TL;DR: In this article, a manufacturing cost model is created that includes all labor, material and overhead costs for novel mycelium-based biocomposite sandwich structures produced by a commercial firm.

TL;DR: This work proposes a method, a supporting model and ad-hoc software development to address the problem of the assembly process definition and divides the problem into four parts: logistic plan definition, assembly line definition, layout design and evaluation of complete solutions.

TL;DR: In this article, a comparison in terms of energy, process time, cost and carbon footprint is assessed against the conventional manufacturing process of riveting, to prove that laser beam welding is actually an environmental friendly process.

TL;DR: In this article, the first hours of the measurement process two types of thermal errors significantly affect the measurements, causing inaccuracies of between 20 and 80μm, depending on the equipment used and the positions of the measured points.

TL;DR: A novel data-driven DP clustering approach is presented to characterize heterogeneous recurrence variations and link with the quality of surface finishes in UPM processes and is shown to have strong potential for manufacturing process monitoring and control that will increase the surface integrity and reduce rework rates.

TL;DR: In this paper, a method for the formation of part family that considers bypassing moves and idle machines is presented for a reconfigurable manufacturing system to simultaneously consider efficiency and flexibility, and a similarity coefficient algorithm is designed, which is used as the basis for part clustering and family formation.