Technology portfolio under capacity planning and resource allocation introduction:
One of the most challenging issues for industry is how to tackle technology adoption and capacity planning simultaneously under uncertainty. In this research, a technology portfolio adoption model considering capacity planning under demand and technological uncertainty is proposed. The model optimizes technology portfolio and simultaneously addresses the optimal capacity planning to maximize the profit in a planning horizon.
The problem is modeled by Markov decision process (MDP), of which each action is presented as a desired length of time to retain the currently used technologies, in which the capacity planning problem is modeled by a stochastic mixed linear integer programming (SMLIP) problem
New product development and Market entry modeling:
When an organization has made a decision to enter an overseas market, there are a variety of options open to it. These options vary with cost, risk and the degree of control which can be exercised over them. The simplest form of entry strategy is exporting using either a direct or indirect method such as an agent. More complex forms include truly global operations which may involve joint ventures, or export processing zones. Having decided on the form of export strategy, decisions have to be made on the specific channels. Many agricultural products of a raw or commodity nature use agents, distributors or involve Government, whereas processed materials, whilst not excluding these, rely more heavily on more sophisticated forms of access.
Negotiation-based capacity planning with a learning mechanism using adaptive neuro-fuzzy inference system
In decentralized manufacturing environment with multiple factories that are scattered geographically, the complexity of production systems increases, and capacity planning and allocation of resources have become a significant concern that affects system performances. This study focuses on the development of an integrated framework to allocate limited budget in a multiple-factory environment. We develop a negotiation framework with learning mechanism to allocate autonomously finite budget provided by a headquarter and to facilitate the use of limited manufacturing resources that are scattered over individual factories. The outcome of the experiments shows good prediction of the opponent offers during negotiation, so it enables the reduction of negotiation time.
Simulation Modeling of Dual Warehouse Configuration: a Case Study in a Textile and Apparel Company
Warehouse space allocation is a critical issue to be addressed in many firms, especially firms that have various types of products. Further, most of the owned warehouse has limited capacity which lead to the usage of outsource policy for warehouse storage. In this case, rented warehouse that has more flexibility in terms of capacity is used to store the products. Therefore, and optimal decision of warehouse configuration is required. In this research, a simulation model is developed to analyze the implementation of the proposed method in real case problem. A textile and apparel company is used as the case study.
One of the most challenging issues for industry is how to tackle technology adoption and capacity planning simultaneously under uncertainty. In this research, a technology portfolio adoption model considering capacity planning under demand and technological uncertainty is proposed. The model optimizes technology portfolio and simultaneously addresses the optimal capacity planning to maximize the profit in a planning horizon.
The problem is modeled by Markov decision process (MDP), of which each action is presented as a desired length of time to retain the currently used technologies, in which the capacity planning problem is modeled by a stochastic mixed linear integer programming (SMLIP) problem
New product development and Market entry modeling:
When an organization has made a decision to enter an overseas market, there are a variety of options open to it. These options vary with cost, risk and the degree of control which can be exercised over them. The simplest form of entry strategy is exporting using either a direct or indirect method such as an agent. More complex forms include truly global operations which may involve joint ventures, or export processing zones. Having decided on the form of export strategy, decisions have to be made on the specific channels. Many agricultural products of a raw or commodity nature use agents, distributors or involve Government, whereas processed materials, whilst not excluding these, rely more heavily on more sophisticated forms of access.
Negotiation-based capacity planning with a learning mechanism using adaptive neuro-fuzzy inference system
In decentralized manufacturing environment with multiple factories that are scattered geographically, the complexity of production systems increases, and capacity planning and allocation of resources have become a significant concern that affects system performances. This study focuses on the development of an integrated framework to allocate limited budget in a multiple-factory environment. We develop a negotiation framework with learning mechanism to allocate autonomously finite budget provided by a headquarter and to facilitate the use of limited manufacturing resources that are scattered over individual factories. The outcome of the experiments shows good prediction of the opponent offers during negotiation, so it enables the reduction of negotiation time.
Simulation Modeling of Dual Warehouse Configuration: a Case Study in a Textile and Apparel Company
Warehouse space allocation is a critical issue to be addressed in many firms, especially firms that have various types of products. Further, most of the owned warehouse has limited capacity which lead to the usage of outsource policy for warehouse storage. In this case, rented warehouse that has more flexibility in terms of capacity is used to store the products. Therefore, and optimal decision of warehouse configuration is required. In this research, a simulation model is developed to analyze the implementation of the proposed method in real case problem. A textile and apparel company is used as the case study.