MINIMUM AVERAGE COST PRODUCTION PLANNING IN STOCHASTIC MANUFACTURING SYSTEMS

1998 ◽  
Vol 08 (07) ◽  
pp. 1251-1276 ◽  
Author(s):  
SURESH P. SETHI ◽  
HANQIN ZHANG ◽  
QING ZHANG
Keyword(s):  
Control Problem ◽  
Production Planning ◽  
Average Cost ◽  
Production Cost ◽  
Manufacturing Systems ◽  
Production Control ◽  
Production Capacity ◽  
Production Rates ◽  
Planning Problems

Recently, the production control problem in stochastic manufacturing systems has generated a great deal of interest. The goal is to obtain production rates to minimize total expected surplus and production cost. This paper reviews the research devoted to minimum average cost production planning problems in stochastic manufacturing systems. Manufacturing systems involve a single or parallel failure-prone machines producing a number of different products, random production capacity, and constant demands.

scholarly journals PERENCANAAN DAN PENGENDALIAN PRODUKSI AGREGAT PADA USAHA TEDUNG UD DWI PUTRI DI KLUNGKUNG

2020 ◽  
Vol 9 (1) ◽  
pp. 99
Author(s):  
I Komang Juliantara ◽  
Kastawan Mandala
Keyword(s):  
Production Planning ◽  
Production Cost ◽  
Production Capacity ◽  
Exponential Smoothing ◽  
Smoothing Method ◽  
Planning System ◽  
Total Production ◽  
Labor Costs ◽  
One Year ◽  
Exponential Smoothing Method

Production planning and control is very important to minimize the occurrence of excess product inventory so that the demand season is low and vice versa there is a shortage of products during the high demand season. The purpose of this study is to determine and determine the amount of production with minimal costs at UD Dwi Putri Klungkung. This research was conducted on building products using an aggregate production planning system while the data used in this study were sales data for one year, production capacity, overtime costs, storage costs and labor costs. Based on the results of the study indicate that the estimated number of products produced during the next year is as many as 31,531 units, which are based on the exponential smoothing method. This method is used, because the exponential smoothing method gives results that have the smallest standard error with MAD value of 208.812, MSE value of 61843.5 and MAPE value of 7.97%. Aggregate planning strategy with chase strategy produces a total production cost of Rp. 242,995,500.00, where the total cost lower, compared to the total production cost with a strategy level of Rp. 254,337,081.00. Keywords: Forecasting, Aggregate Planning, Chase Strategy, Strategy Level

scholarly journals Directions of Production Planning & Production Control System: Mathematical Evolution from the Flexibility Point of View

2020 ◽  
Vol 4 (2) ◽  
pp. 17-24
Author(s):  
Ajay Kumar Agarwal ◽  
Rakesh Kumar
Keyword(s):  
Control Systems ◽  
Production Planning ◽  
Manufacturing Systems ◽  
Production Control ◽  
Job Shop ◽  
Planning System ◽  
Manufacturing Planning ◽  
Planning And Control ◽  
Manufacturing Planning And Control ◽  
And Control

Production Planning and Production Control systems are some of the keys that determine the development of modern production systems. The article presents the importance of a flexibility factor in the process of manufacturing, planning, and control systems development during the 20th century. Finally, actual problems and trends in the production system design and control over the design were perceived in addition to possible feasible directions of the development of manufacturing systems, probably in the 21st century were specified. Production planning and production control are usually painstaking to be one of the most noteworthy issues in the planning and operation of a manufacturing structure. A better planning system has a significant bang on cost reduction, increased productivity, customer satisfaction, and overall spirited improvement for a product. Also, the current customer demand for prominent diversity products has put into an increase in product complications that further lay emphasis on necessitates for superior planning. Proficient planning leads to the amplification in capability exploitation competence and, therefore, thereby reducing the operational time required to intact jobs and accordingly escalating the profitability of an organization in the current spirited environment. There are different systems of manufacturing, planning, and control for a job-shop together with flow-shop in which the jobs are to be a progression through a series of machines for an optimizing number of required performance measures

Optimal Production Control in Stochastic Manufacturing Systems with Degenerate Demand

2011 ◽  
Vol 1 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Azizul Baten ◽  
Anton Abdulbasah Kamil
Keyword(s):  
Control Problem ◽  
Manufacturing Systems ◽  
Production Control ◽  
Hjb Equation ◽  
Dynamic Programming Principle ◽  
Inventory Problem ◽  
Production Inventory ◽  
Production Cost Control ◽  
Inventory Control Problem ◽  
Ito's Lemma

AbstractThe paper studies the production inventory problem of minimizing the expected discounted present value of production cost control in manufacturing systems with degenerate stochastic demand. We have developed the optimal inventory production control problem by deriving the dynamics of the inventory-demand ratio that evolves according to a stochastic neoclassical differential equation through Ito's Lemma. We have also established the Riccati based solution of the reduced (one- dimensional) HJB equation corresponding to production inventory control problem through the technique of dynamic programming principle. Finally, the optimal control is shown to exist from the optimality conditions in the HJB equation.

scholarly journals Queue Length Forecasting in Complex Manufacturing Job Shops

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 322-338
Author(s):  
Marvin Carl May ◽  
Alexander Albers ◽  
Marc David Fischer ◽  
Florian Mayerhofer ◽  
Louis Schäfer ◽  
...  
Keyword(s):  
Operations Management ◽  
Queue Length ◽  
Manufacturing Systems ◽  
Production Control ◽  
Data Sets ◽  
Job Shops ◽  
Static Data ◽  
Queue Lengths ◽  
Operational Excellence

Currently, manufacturing is characterized by increasing complexity both on the technical and organizational levels. Thus, more complex and intelligent production control methods are developed in order to remain competitive and achieve operational excellence. Operations management described early on the influence among target metrics, such as queuing times, queue length, and production speed. However, accurate predictions of queue lengths have long been overlooked as a means to better understanding manufacturing systems. In order to provide queue length forecasts, this paper introduced a methodology to identify queue lengths in retrospect based on transitional data, as well as a comparison of easy-to-deploy machine learning-based queue forecasting models. Forecasting, based on static data sets, as well as time series models can be shown to be successfully applied in an exemplary semiconductor case study. The main findings concluded that accurate queue length prediction, even with minimal available data, is feasible by applying a variety of techniques, which can enable further research and predictions.

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