For a clear understanding of how to foster necessary attributes of partnerships that promote a closer relationship for achieving outsourcing success,this paper tries to explore the role of interaction.Based on empiric...For a clear understanding of how to foster necessary attributes of partnerships that promote a closer relationship for achieving outsourcing success,this paper tries to explore the role of interaction.Based on empirical data from a logistics and procurement flat system outsourcing case and earlier research,the industrial network approach and the international marketing and purchasing interaction model are used to analyze the nature of interaction in a three-phased outsourcing life cycle,particularly,characteristics and activities of the transition phase are identified.The findings reveal that developing a relationship between partners requires an industrial network perspective.Improving the key aspects of interaction,information and knowledge sharing,communication and collaborative participation,involved in the important events of three phases would contribute to enhance the relationships performance.The key aspects of interaction should take place among the network actors and not just between buyers and vendors.展开更多
This paper considers a scheduling problem in industrial make-and-pack batch production process. This process equips with sequence-dependent changeover time, multipurpose storage units with limited capacity, storage ti...This paper considers a scheduling problem in industrial make-and-pack batch production process. This process equips with sequence-dependent changeover time, multipurpose storage units with limited capacity, storage time, batch splitting, partial equipment connectivity and transfer time. The objective is to make a production plan to satisfy all constraints while meeting demand requirement of packed products from various product families. This problem is NP-hard and the problem size is exponentially large for a realistic-sized problem. Therefore,we propose a genetic algorithm to handle this problem. Solutions to the problems are represented by chromosomes of product family sequences. These sequences are decoded to assign the resource for producing packed products according to forward assignment strategy and resource selection rules. These techniques greatly reduce unnecessary search space and improve search speed. In addition, design of experiment is carefully utilized to determine appropriate parameter settings. Ant colony optimization and Tabu search are also implemented for comparison. At the end of each heuristics, local search is applied for the packed product sequence to improve makespan. In an experimental analysis, all heuristics show the capability to solve large instances within reasonable computational time. In all problem instances, genetic algorithm averagely outperforms ant colony optimization and Tabu search with slightly longer computational time.展开更多
文摘For a clear understanding of how to foster necessary attributes of partnerships that promote a closer relationship for achieving outsourcing success,this paper tries to explore the role of interaction.Based on empirical data from a logistics and procurement flat system outsourcing case and earlier research,the industrial network approach and the international marketing and purchasing interaction model are used to analyze the nature of interaction in a three-phased outsourcing life cycle,particularly,characteristics and activities of the transition phase are identified.The findings reveal that developing a relationship between partners requires an industrial network perspective.Improving the key aspects of interaction,information and knowledge sharing,communication and collaborative participation,involved in the important events of three phases would contribute to enhance the relationships performance.The key aspects of interaction should take place among the network actors and not just between buyers and vendors.
基金Thailand Research Fund (Grant #MRG5480176)National Research University Project of Thailand Office of Higher Education Commission
文摘This paper considers a scheduling problem in industrial make-and-pack batch production process. This process equips with sequence-dependent changeover time, multipurpose storage units with limited capacity, storage time, batch splitting, partial equipment connectivity and transfer time. The objective is to make a production plan to satisfy all constraints while meeting demand requirement of packed products from various product families. This problem is NP-hard and the problem size is exponentially large for a realistic-sized problem. Therefore,we propose a genetic algorithm to handle this problem. Solutions to the problems are represented by chromosomes of product family sequences. These sequences are decoded to assign the resource for producing packed products according to forward assignment strategy and resource selection rules. These techniques greatly reduce unnecessary search space and improve search speed. In addition, design of experiment is carefully utilized to determine appropriate parameter settings. Ant colony optimization and Tabu search are also implemented for comparison. At the end of each heuristics, local search is applied for the packed product sequence to improve makespan. In an experimental analysis, all heuristics show the capability to solve large instances within reasonable computational time. In all problem instances, genetic algorithm averagely outperforms ant colony optimization and Tabu search with slightly longer computational time.
