Due to the rise of social and environmental concerns on global climate change, developing low-carbon economy is a necessary strategic step respond greenhouse effect incorporate sustainability. As such, there new trend for cold chain industry establish vehicle routing optimization model which takes costs carbon emissions as measurements performance. This paper studies problem (LC-VRP) derived from real logistics network with several practical constraints, also customer satisfaction into...

Purpose This study aims to investigate the factors from four dimensions that have an effect both on formal and informal knowledge sharing (FKS IKS) relationship between (KS) task performance in Chinese manufacturing. Design/methodology/approach The structural equation modeling approach was applied hypothesis testing according data collected employees of manufacturing companies through online questionnaire. A total 530 valid responses were obtained. Findings results indicate level structure,...

We study an agent-based scheduling problem of two identical parallel machines: [Formula: see text]. The machines and tasks are regarded as agents. A new multi-agent model is proposed to achieve the optimum from task agents, agent B. objective divided into classes. objectives B minimize total tardiness time makespan, respectively. In this article, we research in which one job category can be processed by machine only or agents propose a for machines, subsystems. For subsystem 1, shortest...

Process planning and job shop scheduling problems are the two classical but crucial activities in manufacturing system. With approach of integrated process scheduling, actual combined to conduct operation selection sequencing with constraints practical status. In this article, a quantum-inspired hybrid algorithm objective minimum makespan is proposed, aiming solve dynamic systems. A hybrid-coding representation suggested, which three-layer structure numerical Q-bit adopted from evolutionary...

An image segmentation algorithm based on credibilistic clustering incorporating spatial continuity is presented in this paper. The probabilistic constraint that the memberships of a pixel across clusters must sum to 1 fuzzy c-means removed, and credibility measure introduced into for first time. By introducing novel dissimilarity index objective function, proposed not only capable utilizing local contextual information impose continuity, but also allows suppression noise helps resolve...

Abstract Web-based process planning is an internet application for distributed and knowledge-sharing providing important support virtual enterprises. Route sheet documents are widely adopted as user interfaces information input, output, browsing, sharing integration. In traditional applications, data their presentation in specially formatted route implemented together. Separation of emphasized this paper because not only can it provide multi-level multi-orientation views the same data, but...

Computer vision–based inspection has been widely applied in automated quality of lots products. Extant research pays more attention to non-deformable parts, but little deformable such as hoses, which are popularly used mechanical and electronic products transport liquid because advantages deformability. Hence, a problem hose assembly was defined divided into four subproblems online inspection, offline data analysis, improvement control. Focusing on the first subproblem, computer system...

With the intensification of aging, more and elderly people in China live alone face dilemma less communication. However, an intrinsic requirement for to be accompanied heard increases demand emotional care services. Hence, we focus on propose multi-agency bi-objective routing scheduling model that considers both travel overtime costs caregivers together with customers’ preferences caregivers. We expand a single agency service mode joint avoid decline customer satisfaction due fact cannot...

Text information mining is a key step to data-driven automatic/semi-automatic quality management (QM). For Chinese texts, word segmentation algorithm necessary for pre-processing since there are no explicit marks define boundaries. Because of intrinsic characteristics QM-related algorithms normal texts cannot be directly applied. Hence, based on the analysis we summarized six features, and proposed hybrid model by means integrating transfer learning (TL), bidirectional long-short term memory...

Abstract Manufacturing resources are shared and centrally managed on the cloud platform in manufacturing, which is a new model of modern manufacturing. The production data collected, can be used to predict manufacturing events. Based those, disruption problems scheduling should researched from point view. In this paper, job arrivals were considered as event. time occurrence was predictable contrast uncertainty. Alternative subcontractors chosen available for outsourcing with different...

Hybrid methods of fuzzy clustering and particle swarm optimization (PSO) are important techniques for image segmentation. The spatial credibilistic (SCC) shows better performance than traditional clustering, because the "typicality" represented by credibility memberships degree is much more accurate "sharing" probability membership to characterize relationships between pixels classes images. Current integrated patterns PSO haven't made full use both advantages. Therefore, main forms were...

As a critical unit of computer vision (CV) based applications, image segmentation is quite worth studying. Hybrid method spatial credibilistic clustering and particle swarm optimization (SCCPSO) novel effective method. It's proved to produce better results than other common methods. In this paper, SCCPSO further investigated by discussing several key points such as membership function, initialization, pre-selection, boundary conditions. Then the modified put forth applied in CV-based...

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Process planning is the intermediate stage between product design and production. In ever-evolving landscape of manufacturing, optimization process plays a key role in ensuring efficiency, cost-effectiveness overall productivity. Traditional methods often rely on predefined rules expert knowledge, along with engineers’ experiences, which are tacit unstructured, existing their minds. Weak optimal results resource inefficiencies come accordance inefficient knowledge reuse. Existing research...