Stability and performance of a simple distributed tracking policy for production control of manufacturing systems

2002 ◽  
Author(s):  
A. Sharifnia
Keyword(s):  
Manufacturing Systems ◽  
Production Control ◽  
And Performance ◽  
Distributed Tracking

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.

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.

Data-Enabled Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems With Quality Rework

2020 ◽  
Author(s):  
Cheng Zhu ◽  
Tian Yu ◽  
Qing Chang ◽  
Jorge Arinez
Keyword(s):  
Mathematical Model ◽  
Production Line ◽  
System Performance ◽  
Manufacturing Systems ◽  
Serial Production ◽  
Stochastic Production ◽  
And Performance ◽  
Event Based ◽  
The Mathematical Model ◽  
Permanent Production

Abstract In a multistage serial production line, products with defect can be repaired or reworked to ensure high product quality. This paper studies a multistage serial manufacturing system with quality rework loops. Rework is the activity to repair or repeat the work on the defect parts during manufacturing processes, and it adds to cost and cycle time. This paper introduces an event-based data-enabled mathematical model for a stochastic production line with quality rework loops. The system performance properties are analyzed and permanent production loss due to quality rework loops is identified. The mathematical model and system performance identification methodology are studied analytically through numerical case studies.

Lean manufacturing practices and performance: the role of social and technical factors

2019 ◽  
Vol 37 (5) ◽  
pp. 732-754 ◽  
Author(s):  
Saumyaranjan Sahoo
Keyword(s):  
Lean Manufacturing ◽  
Business Performance ◽  
Manufacturing Systems ◽  
Equation Modeling ◽  
Performance Parameters ◽  
Content Type ◽  
Lean Practices ◽  
The Social ◽  
And Performance ◽  
The Relationship

Purpose Modern manufacturing systems require tools and techniques that take cognizance of the social (concerning people and relations) as well as the technical environment. The purpose of this paper is to explore the relationship between the social and technical aspects of lean manufacturing practices and their effects on business performance outcomes. Design/methodology/approach The hypothesized relationships for this study are tested with data collected from 148 Indian manufacturing firms by using SPSS and AMOS statistical software. Findings The analysis of the study was conducted using structural equation modeling (SEM) technique, which indicated that both “soft” and “hard” lean practices are positively related to business performance parameters. The findings also demonstrated that “hard” lean practices fully mediate the relationship between “soft” lean practices and business performance parameters. Research limitations/implications There are some limitations of this study. Although a cross-sectional survey has been applied, the research does not permit us to account for the lag between implementation and performance. It also brings the opinion of a limited number of Indian experts about lean manufacturing systems; hence, the sample size could be increased and the nationality of the respondent could be expanded for future research. Practical implications The paper would be of interest to Lean practitioners, and the results of this study can be used in organizations to put a focus on social-cultural changes while applying lean technical tools when it comes to practices as well as importance. Originality/value This paper extends theoretical contribution in production and operations management literature, highlighting how social and technical practices have to interact to enable a successful lean manufacturing implementation.

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