Manufacturing firms would like to maximize customer satisfaction by providing them with what they need when they need it. This, however, would mean continual variations in production quantities, and component orders from suppliers. A flexible manufacturing system can help alleviate costs related to modification of production quantities. The capacity of such a system, however, has to be limited because of high investment cost. Further, unless there is a long-term relationship, suppliers may levy a high surcharge for last minute changes in order size. We model a hybrid control policy comprising an advance (pre-production) order size agreed upon with suppliers, and a provision for real time order revision at a given rate of surcharge. We show ...
Customer specific requirements is one of the key drivers in a supply chain strategy based on mass cu...
One of the major complicating factors in decentralized supply chains is the long procurement/manufac...
Most manufacturers face challenges from inaccurate forecast, regular plan changes, back log and capa...
Manufacturing firms would like to maximize customer satisfaction by providing them with whatthey nee...
Contract manufacturers sell capacity under different terms to different buyers. In a common practice...
The automotive industry is suffering from large supply-chain disruptions and restrictions, and sourc...
This dissertation studies capacity investment decisions of a manufacturing firm facing high demand u...
This paper focuses on a quantity flexibility contract through which two or more heterogeneous suppli...
In this study, we analyze a decentralized supply chain with a single retailer and a single manufactu...
Shortages of input materials and components used in the production process often adversely influence...
This paper addresses the problem of managing flexible production capacity in a make-to-order (MTO) m...
This study focuses on a purchase contract through which a supplier periodically provides a product t...
We study capacity reservation contracts in high-tech manufacturing, where the manufacturer (the supp...
Purpose - The purpose of this paper is to solve an integration of customer and supplier flexibility ...
Sequencing (or resequencing) products in a blocking flowshop is a valuable way to make simple, low-c...
Customer specific requirements is one of the key drivers in a supply chain strategy based on mass cu...
One of the major complicating factors in decentralized supply chains is the long procurement/manufac...
Most manufacturers face challenges from inaccurate forecast, regular plan changes, back log and capa...
Manufacturing firms would like to maximize customer satisfaction by providing them with whatthey nee...
Contract manufacturers sell capacity under different terms to different buyers. In a common practice...
The automotive industry is suffering from large supply-chain disruptions and restrictions, and sourc...
This dissertation studies capacity investment decisions of a manufacturing firm facing high demand u...
This paper focuses on a quantity flexibility contract through which two or more heterogeneous suppli...
In this study, we analyze a decentralized supply chain with a single retailer and a single manufactu...
Shortages of input materials and components used in the production process often adversely influence...
This paper addresses the problem of managing flexible production capacity in a make-to-order (MTO) m...
This study focuses on a purchase contract through which a supplier periodically provides a product t...
We study capacity reservation contracts in high-tech manufacturing, where the manufacturer (the supp...
Purpose - The purpose of this paper is to solve an integration of customer and supplier flexibility ...
Sequencing (or resequencing) products in a blocking flowshop is a valuable way to make simple, low-c...
Customer specific requirements is one of the key drivers in a supply chain strategy based on mass cu...
One of the major complicating factors in decentralized supply chains is the long procurement/manufac...
Most manufacturers face challenges from inaccurate forecast, regular plan changes, back log and capa...