Optimal and simple approximate solutions to a production-inventory system with two production rates
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Miyaoka, Julia
[1
,2
]
Azoury, Katy S.
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San Francisco State Univ, Coll Business, Decis Sci Dept, San Francisco, CA USASan Francisco State Univ, Coll Business, Decis Sci Dept, San Francisco, CA USA
Azoury, Katy S.
[1
]
机构:
[1] San Francisco State Univ, Coll Business, Decis Sci Dept, San Francisco, CA USA
[2] San Francisco State Univ, Coll Business, Decis Sci Dept, 1600 Holloway Ave, San Francisco, CA 94132 USA
We consider a production-inventory system in which the facility produces continuously, switching between two production rates: one faster and one slower than the average demand rate. Demand follows a compound Poisson process, and the size of each demand request is an exponential random variable. Unsatisfied demand is backordered. The production-inventory system is controlled by a two-critical number policy (r, R), whereby production switches from the slower rate to the faster rate when inventory drops below level r and from the faster rate to the slower rate when inventory reaches level R. A fixed cost occurs whenever production switches rates. Our analysis covers two cases: r >= 0 and the less studied case of r <= 0. We use a level crossing approach to derive the steadystate distribution of the inventory level. Using the steady-state distribution of the inventory level, we calculate the total expected inventory holding, backorder, and switchover costs for each of the two cases. We outline how to obtain the optimal policy through a search of the expected cost functions. We also propose heuristics that give simple closed-form solutions with near-optimal performance. Through a numerical study, we illustrate the importance of considering the r <= 0 case.
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San Francisco State Univ, Coll Business, Dept Decis Sci, 1600 Holloway Ave, San Francisco, CA 94132 USASan Francisco State Univ, Coll Business, Dept Decis Sci, 1600 Holloway Ave, San Francisco, CA 94132 USA
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Rutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA
Chang, Jasmine
Lu, Haibing
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Santa Clara Univ, Dept Operat Management & Informat Syst, Santa Clara, CA 95053 USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA
Lu, Haibing
Shi, Jim
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Rutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Newark, NJ 07102 USA
New Jersey Inst Technol, Tuchman Sch Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA
机构:
San Francisco State Univ, Coll Business, Dept Decis Sci, 1600 Holloway Ave, San Francisco, CA 94132 USASan Francisco State Univ, Coll Business, Dept Decis Sci, 1600 Holloway Ave, San Francisco, CA 94132 USA
机构:
Rutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA
Chang, Jasmine
Lu, Haibing
论文数: 0引用数: 0
h-index: 0
机构:
Santa Clara Univ, Dept Operat Management & Informat Syst, Santa Clara, CA 95053 USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA
Lu, Haibing
Shi, Jim
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Newark, NJ 07102 USA
New Jersey Inst Technol, Tuchman Sch Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch Newark & New Brunswick, Dept Supply Chain Management, Newark, NJ USA