OKP Supply Chain Scheduling

In one-of-a-kind production (OKP), a firm usually keeps zero stock for some components of which the demand is unstable. In this work, we model the scheduling problem for the OKP firm who promises due-date-guaranteed delivery to its customers. The firm schedules its jobs to minimize its total cost concerning the constraint of components delivery from its supplier. We develop a pair-wise scheduling algorithm to model. The simulation test shows that the proposed pair-wise scheduling algorithm can find the near optimal solution

Scheduling Limited Resources in Engineering Projects

Because of high customizations in the one-of-a-kind production companies (OKP companies), these companies need to find a way for reducing the production cost, shortening the production lead-time, and maintaining the quality of the productions as in the mass production system MP.s. Currently, production scheduling in OKP system follows the traditional mass production system, which focus on time and inventory, and it is inapplicable. Actually, OKP system works based on customer requirements, where each order can be representing as multi-project based. In this paper, One-of-a-kind production OKP has been referred as a project-based production and as a flexible resource- constrained project scheduling problems (FRCPSs); because in practice, some of project activities cannot be pre-determined due to its high customizations and great uncertainties. A new model has been proposed based on these assumptions to create production schedules for OKP system, which focuses on time and resources as in project management system PM. s, and deals with the problem which have three categories of project activities A, B, and C. The per-findings indicated that the model enhances the applicability of resulting schedules, emulates what a project manager in practice does (i.e. adding or removing resources from tasks to have the project completed in time), increase the number of feasible solutions, and reduces the project duration

Study and Prospects: Adaptive Planning and Control of Supply Chain in One-of-a-kind Production

Based on the research project titled “Adaptive Planning and Control of Supply Chain in One-of-a-kind Production”, the research group performed a systematic review of supply chain integration, risk prediction and control and trace ability. Studies of a computer-aided and integrated production system for cost-effective OKP systemare included. Our efforts relevant to integration of supply chain in OKP, modeling &control of ripple effects in OKP supply chain and the trace ability of the OKP supply chain are introduced in this paper

Quality Control Considering Assembly Order for Two Stage Processes

Variation reduction in multistage assembly processes is an important but challenging issue for quality control. It is desirable to minimize the final product variance from a system level. Fruitful research has been conducted on this issue based on the fixed assembly order. However, the variability of parts can be affected by different assembly order. In this paper, we propose a quality control strategy that takes into account the assembly order in two stage assembly processes. Specifically, we analyzed the relationship between the final product variation targets and the assembly order. A case study in conducted on a two stage assembly process of vessel diaphragm to illustrate the developed methodology.disastrous

Research on The Optimization Strategy of Cross-border B2B Supply Chain with Service Cost Information Sharing

The development of cross-border e-commerce highlights the importance of service integration and information sharing. This paper considers a cross-border B2B supply chain which consists of a local manufacturer and a foreign trade service integrator. The service integrator holds the service cost structure as private information. The optimal decisions and maximum expected profits of the manufacturer and service integrator are analyzed under two scenarios：no information sharing versus information sharing. The paper finds that information sharing always benefit the manufacturer but not for the service integrator. In the meanwhile, the value of information is increased with the manufacturer’s forecast uncertainty about the service integrator’s service cost. The whole supply chain can get pareto improvement through the Nash bargaining mechanism

Dual-Channel Supply Chain Network Equilibrium Model with Consumer-Driven

In this paper, we study designing and managing effective dual-channel supply chain network equilibrium model to optimize the profit of each node in dual-channel supply chain network and satisfy seamlessly customer demand. The customer demand in each channel is driven by the heterogeneous consumer characteristic attributes. In our proposed model, Multinomial Logit (MNL) function is used to make a purchase decision for customers considering selling price, operation time and retail services. Furthermore, the Variational Inequality is used to express the equilibrium solution in dual-channel supply chain network. A numerical example in dual-channel supply chain network is presented to show the MNL function can be a good replacement for the demand function when customers are heterogeneous and the proposed model can be helpful to avoid time trap