Production/Inventory Competition Between Firms with Fixed-Proportions Co-production Systems

2021 ◽  
Author(s):  
Shuang He ◽  
Jian Zhang ◽  
Juliang Zhang ◽  
T.C.E. Cheng
Keyword(s):  
Production Systems ◽  
Production Inventory ◽  
Inventory Competition

Continuous production/inventory model with analogy to certain queueing and dam models

1989 ◽  
Vol 21 (01) ◽  
pp. 123-141 ◽  
Author(s):  
David Perry ◽  
Benny Levikson
Keyword(s):  
Production Systems ◽  
Optimization Problems ◽  
Storage Systems ◽  
Continuous Production ◽  
Queueing Systems ◽  
Inventory Level ◽  
Model Optimization ◽  
Fixed Rate ◽  
Production Inventory ◽  
Finite Dam

We consider two storage/production systems in which items are produced continuously over time with fixed rate. In the first system items have infinite lifetime, while in the second system the lifetime of the items are finite and fixed. The inventory level distributions and other important functionals associated with these storage systems are derived. This derivation is accomplished by an analogy existing between the storage systems and certain queueing systems and a finite dam model. Optimization problems connected with these systems are also considered.

Continuous production/inventory model with analogy to certain queueing and dam models

1989 ◽  
Vol 21 (1) ◽  
pp. 123-141 ◽  
Author(s):  
David Perry ◽  
Benny Levikson
Keyword(s):  
Production Systems ◽  
Optimization Problems ◽  
Storage Systems ◽  
Continuous Production ◽  
Queueing Systems ◽  
Inventory Level ◽  
Model Optimization ◽  
Fixed Rate ◽  
Production Inventory ◽  
Finite Dam

We consider two storage/production systems in which items are produced continuously over time with fixed rate. In the first system items have infinite lifetime, while in the second system the lifetime of the items are finite and fixed. The inventory level distributions and other important functionals associated with these storage systems are derived. This derivation is accomplished by an analogy existing between the storage systems and certain queueing systems and a finite dam model. Optimization problems connected with these systems are also considered.

scholarly journals A COMPARISON OF THE PUSH AND PULL PRODUCTION SYSTEMS AT THEIR OPTI MAL DESIGNS UNDER THE ECONOMIC CONSIDERATION

2017 ◽  
Vol 22 (4) ◽  
pp. 313
Author(s):  
N. Chiadamrong ◽  
P. Kohly
Keyword(s):  
Material Flow ◽  
Production Systems ◽  
Inventory Systems ◽  
Operating Costs ◽  
Shop Floor ◽  
Optimized Design ◽  
Production Inventory ◽  
Fair Comparison ◽  
Push And Pull ◽  
The Impact

The term “push” and “pull” have been used to explain a wide variety of production inventory systems. The distinction refers to a specific attribute, which can be identified by observing the mechanisms for controlling material flow on the shop floor and a specific policy for the management of inventories and production schedules. This paper gives an attempt to compare these systems under their optimal settings under a constraint resource. Two optimal-seeking methods (Taguchi method and Response Surface Methodology) are used to suggest the optimized design of the system under an economic term, which is the profit generated from the system. Then, a fair comparison can be made where each system is operating at its optimal design. Results from this study will reveal an in teresting outcome, letting us know the impact of the push and pull mechanisms on the systems’ operating costs as well as their profits. 

scholarly journals Production inventory policy under a discounted cash flow

2005 ◽  
Vol 15 (2) ◽  
pp. 289-300
Author(s):  
Chao-Ton Su ◽  
Cheng-Wang Lin
Keyword(s):  
Cash Flow ◽  
Production Scheduling ◽  
Production Systems ◽  
Simple Algorithm ◽  
Inventory Level ◽  
Discounted Cash Flow ◽  
Proposed Model ◽  
Production Inventory ◽  
Demand Rate ◽  
Holding Cost

This paper presents an extended production inventory model in which the production rate at any instant depends on the demand and the inventory level. The effects of the time value of money are incorporated into the model. The demand rate is a linear function of time for the scheduling period. The proposed model can assist managers in economically controlling production systems under the condition of considering a discounted cash flow. A simple algorithm computing the optimal production-scheduling period is developed. Several particular cases of the model are briefly discussed. Through numerical example, sensitive analyses are carried out to examine the effect of the parameters. Results show that the discount rate parameter and the inventory holding cost have a significant impact on the proposed model.

Multi-Item Multi-Period Dynamic Capacity-Constrained Lot-Sizing Model with Parallel Machines and Fuzzy Demand

2011 ◽  
Vol 367 ◽  
pp. 627-638
Author(s):  
Ladi Ogunwolu ◽  
O.A. Alli ◽  
Chidi Onyedikam ◽  
A. A. Sosimi
Keyword(s):  
Production Scheduling ◽  
Parallel Machines ◽  
Production Systems ◽  
Planning Horizon ◽  
Mathematical Framework ◽  
Production Environment ◽  
Test Bed ◽  
Lot Size ◽  
Production Inventory ◽  
Fuzzy Demand

Multi-item, multi-period production systems are prevalent in traditional production and distribution settings. A dynamic lot size production scheduling model (DLSPM) for multi-Production/inventory item multi-period production system with parallel machines is proposed in this paper. A mathematical framework that extends the DLSPM to multi-Production/inventory item-multi-period production planning constrained by storage space was built. The criteria of DLSPM explore optimal production schedule with the constraints of inventory, backlogs, production and demand to minimize the total inventory costs over finite planning horizon. Demand analogous to a typical production environment considered includes dynamic deterministic and fuzzy demand. The model was tested with both deterministic and fuzzy demand spread over ten years, for five equal planning periods, with a two Production/inventory item and two parallel machine test bed. From the various demand types, several iterations (sub problems) were generated and optimality condition was then verified. To capture the imprecision that is often inherent in the estimated future demand, demand was specified by fuzzy numbers and modeled using the triangular membership function distribution. Centre of gravity defuzzification scheme was used within finite intervals to obtain defuzzified demand. Tora Operations Research software was used to run the model using a test problem. Computational results vindicate the robustness and flexibility of the approach based on the quality of the solutions obtained.

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