ARTICLES A New Managerial Tool For Scenarios In Scheduling (original) (raw)
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A New Managerial Tool for Scenarios in Scheduling
Global Economic Observer, 2014
The purpose of this paper is to introduce a newly developed managerial tool, Quality Scheduling Index (QSI), which can be used at the improvement of quality and time consumption within not only manufacturing companies. The authors present this tool as a result of the actual market conditions of finding a way for managing and controlling the usage of time, quality of work and the costs associated with these two factors. The paper is focused on the area of Management of Production and Operations with the main goal of developing the area of scheduling research and main purpose of increasing the productivity of a manufacturing enterprise by using at maximum the available resources, without any additional costs or investments. A survey is realized regarding the market requirements and partial empirical results of the authors’ researches are presented, with conclusions being drawn for future studies. A scenario mainframe is also developed and a relation between QSI and scenarios is presen...
An innovative way of improving just in time delivery by using the Quality Scheduling Index
Review of Applied Socio Economic Research, 2014
The article is focused on presenting a new Quality Scheduling Index which can help managers in producing and delivering goods to the customers according to their quality requirements and time deliverables. The index is combining the required level of quality of the products and the Just-In-Time production schedule, which a company should maintain in order to deliver the requested products by the market. The authors present a new managerial tool which can be used to assess, control and improve the manufacturing process by reducing manufacturing time and increasing the quality of the products. This offers a new perspective on the consumer's safety and their requested level of qualitative products and forces the management to consider customers and their satisfaction level, starting with the manufacturing process of the goods. The Quality Scheduling Index is then partially implemented in a Romanian middle size manufacturing company and results are analyzed. An increase in average of 27% in time better consumption of the available time is obtained corroborated with a 6% increase in the production of qualitative products with zero defects. The article presents partial results of the authors' yet not published work in their research of operational management.
Evaluation and comparison of production schedules
Computers in Industry, 2000
The understanding of what constitutes a ''good'' production schedule is central to the development and evaluation of automated scheduling systems and their implementation in real-world factories. In this paper, we provide a definition of a schedule and discuss potential uses for a schedule within the organization. We then describe a number of different considerations that must be taken into account when assessing the quality of a schedule, and discuss their implications for the design and implementation of scheduling systems. Published by Elsevier Science B.V.
Managerial Systems, Methods, and Techniques Used in Scheduling Industrial Production
Industrial Production Management in Flexible Manufacturing Systems
The management of the industrial production implies the use of some management systems and methods that take into account the nature of production, production type, production volume, the way of organising its performance, etc. Normally, the following can be used: cost objective management system; managerial cost management system; target cost management system; expert systems used in industrial production management. Within these systems and methods of management, the main issue is to compare the estimated costs with the target costs. The process of implementing the management system based on the costs is complex and implies: establishing the objectives, breaking down the objectives set by responsibilities, regularly analysing the results obtained, changing the objectives regarding the level of costs should it be needed, etc. The costs corresponding to the last batch, margins of production added or subtracted from the previous volume of costs are the marginal costs that differ from the average costs which concern the entire production of the industrial company. The size of the marginal cost may be established as a total differential cost or as a unitary differential cost, both being in mutual inter-conditioning relation. The expert system in the operational management of production can be used with good results, which is based on comparing some specific facts to those in the databases. Any expert system takes into account the existence of several modules, such as the knowledge base, rule base, knowledge purchase module, inference engine, inference mechanism, etc.
Applied Sciences
The overwhelming majority of methodologies for the flexible flow shop scheduling problem proposed so far have a common feature, which is the assumption of constant time and cost for the execution of individual technological operations (ignoring an optimal selecting combination of individual employees and tools). Even if the existence of the influence of the selection of production resources on the course of operations is signaled in the available works, the research so far has not focused on the measurable effect of such a solution that takes into account this phenomenon in scheduling. The proposed production scheduling methodology, including the influence of employees and tools, turned out to be more effective in terms of minimizing the maximum completion time and the cost of the production process compared to existing solutions. The efficiency of the new proposed scheduling methodology was assessed using examples of four technological processes. The research was carried out on the...
A survey of case studies in production scheduling: Analysis and perspectives
Journal of Computational Science
The problems of production scheduling and sequencing refer to decision making regarding the designation of jobs to available resources and their subsequent order to optimize pre-defined performance measures. From the early days of research in this area until this last decade, the publication of case studies has been scarce, with their frequency only increasing very recently. This survey aims to highlight practical research and case studies published in the literature in the scheduling area, identifying the main characteristics of the problems treated, trends in this research and also gaps showing potential areas for future study.
Comparing Between Production Scheduling Methods to Achieve Efficient Resource Utilization
IPTEK Journal of Proceedings Series, 2021
High competition among industries nowadays, requires companies to improve their production services. The speed of production service time, with excellent quality, becomes part of the company's competitive advantage. This study aims to compare several production scheduling methods which are commonly used, so that efficient resource utilization can be obtained. Production Scheduling Methods such as Make to Order, Dannenbring, Branch and Bound, Nawaz Enscore and Ham and Campbell Dudeck Smith were compared using one case of tire retreading production. There were two jobs: tire retreading for truck and bus. Each job, assigned to ten workstations following its production steps. The results were obtained that Dannenbring and Campbell Dudeck Smith gave the same best results with the smallest makespan value, equivalent to 48% efficiency.
Comparison of Scheduling Strategies via a Statistical Analysis in an Industrial Context
2006 International Conference on Service Systems and Service Management, 2006
This paper deals with multicriteria decision-making applied to discrete-continuous scheduling problems. The need to quickly generate good compromises between conflicting objectives requires the implementation of fast multicriteria scheduling strategies based on simulation and optimization methods. The purpose of this paper is to compare the solutions of five scheduling strategies so as to select the most adequate strategy when considering the decision-maker's preferences. The solutions are ranked via a lexicographical sort or a multicriteria analysis and validated by standard non-parametric statistical tests. This study synthesizes the results of the application of several scheduling strategies to a real-life, highly constrained industrial problem.