Applied Mechanics and Materials Vols. 397-400

Abstract: Enterprise network belongs to complex adaptive system. The coordination of enterprise network resource refers to the rules that enterprise network members are able to comply with and unity action in order to achieve the expected goal. The rules mainly include opportunity discovery mechanism, communication mechanism, strategy consultation mechanism and the network learning mechanism. Network learning in the process of enterprise network resource coordination is in order to achieve sustainable development the behavior subject in the network would access to network resource in a larger limit, actively adjust itself to accommodate the other behavior subjects, and commonly adjust the network resource coordination rules to adapt to external environment. Therefore, network learning mechanism in the process of enterprises network resource coordination is the study of the summary of experience and lesson to the coordinated activity afterwards of the network behavior subjects, through summing up, modify, perfect and discover the new rules. It can divide into two stages: credit assignment stage and new rules discovery stage.

Abstract: The coal and electric power are foundational energy industries in China, which are connected closely with each other. However there are contradictions and disputes between the two. To implement the coal and power pool project (CPPP) is an effective way to solve the problem. In accordance with the Twelfth Five-Year Plan, the coal industry will develop in large-scale, collectivized and modern direction. CPPP is one focus of the large modern coal enterprises’ steady construction, and makes much sense for coal enterprises, power companies and the overall energy situation in China. This article expounds the reasons, modes and significance of CPPP, and offers some relevant suggestions.

Abstract: Discrete manufacture is a non-continuous production process. Accordingly, factors of production capacity are relatively complex. In order to determine the status of enterprise’s production capacity, this paper selects production capacity evaluation indicators extensively from product output capacity, manufacturing resources capacity, dynamic adaptability, and management coordination capacity. A method based on R-Cluster and Coefficient of Variation is proposed, which uses the combination of quantitative and qualitative analysis to classify factors in different aspects. Besides, Coefficient of Variation is applied to screen out the outcome indicators that have a bigger identification capability. Results and analysis show that 46% of indicators can be used as the final indicator system to reflect 98% of original information, which reduce complexity of evaluation.

Abstract: Assembly sequence planning (ASP) and assembly line balancing (ALB) problems are two essential problems in the assembly optimization. This paper proposes an ant colony algorithm for integrating assembly sequence planning and assembly line balancing, to deal with the two problems on parallel, and resolve the possible conflict between two optimization goals. The assembly sequence planning problem and the assembly line balancing problem are discussed, the process of the proposed ant colony algorithm is investigated. The results can provide a set of solutions for decision department in assembly planning.

Abstract: Traceability is a useful approach to reduce information asymmetry and control food safety risks in agri-food supply chain. However at the present stage where development of traceability system in China is not mature, food processors have to take high investment of traceability and benefits into consideration in economic aspect. The paper builds a game-theoretic model to analyze the economic value and feasibility of traceability in agri-food supply chain. It is found that there may be different situations in which the game equilibrium outcomes between two processors are different. However, if the government intervenes, it is shown that government can take action to guide the game equilibrium to the result that both the processors will implement traceability voluntarily.

Abstract: The current business competition happens among supply chains instead of the companies. In order to close the gap between product design and the production to obtain the competitive advantage, the New Product Pilot Run is proposed to be added into the Product Lifecycle Management from the perspective of the production and operation management in Supply Chain Management. The demonstration shows the benefits of this improved Product Lifecycle Management are to close the gap between Design and Manufacturing and are helpful to on time delivery new product successfully to market.

Abstract: This paper studies the problem of allocating buffers in stochastic production flow lines with product travel time. We build a model that decomposes the production line into the S-B-S (Station-Buffer-Station) subsystems, and use queueing theory to aggregate the subsystems. Experiments are designed for both balanced and unbalanced production lines, and with the computational results, some general rules for the buffer allocation problem are proposed.

Abstract: In this paper, we consider a newsvendor model while its demand randomness is changeable. We analyze how the demand randomness affects the decision variables and objective functions in two difference situations: (1) the retail price is fixed;(2) the retail price is changeable. In first situation, we characterize the optimal order quantity, expected profit and variance of profit based on the benchmark model. In second situation, we show that the expected profit is joint concave function with respect to order quantity and retail price, also give the first order conditions. Finally, we use number analysis to show the effects of demand randomness on optimal retail price and order quantity

Abstract: Based on the distinct characteristic of the cigarette production process, the production planning and scheduling of the packing line is described as the multi-objective mixed-integer programming model to decide the sequence and quantity of all the products, whose objective is not only to meet delivery date, but also to minimize all theprocessing costs and the transforming time in the process. The effectiveness of this model can be well verified in the scheduling decision support system for the production of the packing of real company.

Abstract: Product innovation is an important driver for organizations to improve their performance. Large-scale organizations have received full attention from many researchers with respect to efficient pre-development implementation and practices compared to small and medium enterprises (SMEs). Therefore, this study was performed with the main objective to identify SMEs practices in pre-development process. A survey questionnaire was developed and was sent to 687 Malaysian food and beverage manufacturing SMEs. Descriptive analysis was carried out to determine respondent profile and rank of eight critical success factors (CSFs) based on its contribution. Tests to investigate any differences between the level of importance and practice among SMEs were conducted using paired sample t-test. The results of the study indicated that Malaysian SMEs are aware of the importance of pre-development practices to improve organizational performance through the successful development of new products. However, several limitations (i.e. financial, work force, knowledge, experience, and technologies) had caused Malaysian SMEs unable to achieve efficiency and effectiveness in the pre-development implementation practice.