scholarly journals Integrated Simulation Modeling of Business, Maintenance and Production Systems for Concurrent Improvement of Lead Time, Cost and Production Rate

2016 ◽  
Vol 15 (4) ◽  
pp. 403-431
Author(s):  
Bahman Paknafs ◽  
Ali Azadeh
Keyword(s):  
Production Rate ◽  
Simulation Modeling ◽  
Lead Time ◽  
Production Systems ◽  
Time Cost ◽  
Integrated Simulation

scholarly journals Simulation investigational method for intermittent production systems

2018 ◽  
Vol 38 (2) ◽  
pp. 215-225 ◽  
Author(s):  
Péter Tamás
Keyword(s):  
Process Improvement ◽  
Simulation Modeling ◽  
Lead Time ◽  
Production Systems ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
System Improvement ◽  
The Internet Of Things

Nowadays, production system process improvement is going through sweeping changes. The trends include an increase in the number of product variants to be produced, as well as the reduction of the production’s lead time. These trends were induced by new devices of the industry’s 4.0, namely the Internet of Things and cyber physical systems. The companies have been applying intermittent production systems (job production, batch production) in increasing number because of the increase in the number of product variants. Consequently, increasing the efficiency of these systems has become especially important. The aim of development in the long term – not achievable in many cases – is the realisation of unique production with mass production’s productivity and specific cost. The improvement of complex production systems can be realized efficiently only through simulation modeling. The intermittent production systems’ standardized simulation investigational method has not elaborated so far. In this paper I will introduce a simulation investigational method conception for complex system improvement and also present a practical example in connection with the elaborated method.<br>

PERFORMANCE EVALUATION OF GENETIC DISTRIBUTED FUZZY CONTROLLERS FOR MULTI-PART-TYPE PRODUCTION LINE

2007 ◽  
Vol 06 (02) ◽  
pp. 115-128
Author(s):  
SEYED MAHDI HOMAYOUNI ◽  
TANG SAI HONG ◽  
NAPSIAH ISMAIL
Keyword(s):  
Genetic Algorithm ◽  
Performance Evaluation ◽  
Objective Function ◽  
Production Rate ◽  
Production Line ◽  
Production Systems ◽  
Membership Functions ◽  
Part Type ◽  
High Penalty ◽  
Single Part

Genetic distributed fuzzy (GDF) controllers are proposed for multi-part-type production line. These production systems can produce more than one part type. For these systems, "production rate" and "priority of production" for each part type is determined by production controllers. The GDF controllers have already been applied to single-part-type production systems. The methodology is illustrated and evaluated using a two-part-type production line. For these controllers, genetic algorithm (GA) is used to tune the membership functions (MFs) of GDF. The objective function of the GDF controllers minimizes the surplus level in production line. The results show that GDF controllers can improve the performance of production systems. GDF controllers show their abilities in reducing the backlog level. In production systems in which the backlog has a high penalty or is not allowed, the implementation of GDF controllers is advisable.

scholarly journals Onion cultivation approach by custom-made outdoor hydroponics: A very first attempt in Bangladesh

2021 ◽  
pp. 48-51
Author(s):  
Irani Khatun ◽  
Saydul Karim ◽  
Subroto K Das ◽  
Riyad Hossen
Keyword(s):  
Plant Growth ◽  
Ground Water ◽  
River Water ◽  
Production Rate ◽  
Production Systems ◽  
Deionized Water ◽  
Custom Made ◽  
The World ◽  
Water Treatments

Onion is one of the most important economic crops in the world for growing, trading and consuming. But its production rate is lower in Bangladesh due to insufficient farmlands and alternative production systems. So, onion cultivation hydroponically would be a potential consideration in Bangladesh. In this experiment, onions were grown in custom-made outdoor hydroponics using ground water of Barishal, Kirtankhola River water and deionized water as treatments to check their performances for future use. Ground water demonstrated best performances and the average yields of ground water were more than half of land based yields. Besides, only plant growth was normal in ground water treatments throughout the experiment. Finally, the authors concluded that onion production is possible hydroponically in Bangladesh and to minimize the need of commercial fertilizers; the ground water of Barishal is recommended.

Product and Factory Modeling for Production Rate Determination

1999 ◽  
Author(s):  
S. G. Karthik ◽  
Edward B. Magrab
Keyword(s):  
Production Rate ◽  
Lead Time ◽  
Design Stage ◽  
Manufacturing Processes ◽  
Assembly Structure ◽  
Secondary Manufacturing ◽  
Relationship Of ◽  
The Relationship ◽  
Selection Of ◽  
Made In

Abstract An intelligent graphical user interface that captures a product’s functional and assembly structure and the factory that will make it are described. The results are then used to evaluate a factory’s production rate for the product. The program requires the product to be either a functionally uncoupled or decoupled design. The interface then: (1) implements a visualization of the functionally decomposed product structure; (2) implements an abstraction of a factory; (3) automatically generates candidate primary manufacturing processes and materials that are compatible with each other based on a very small number of attributes; (4) enables the user to make Make/Buy decisions for the components comprising the product; (5) assists the user in the selection of secondary manufacturing processes that are compatible with the primary manufacturing processes and materials for parts made in-house, and specify the vendor and the supply lead time for outsourced parts; (6) enables the specification of alternate materials and manufacturing processes; (7) implements a visual representation of the assembly structure as specified by the user; and (8) partially automates the creation of the assembly structure, and assists in the selection of assembly methods that are compatible with the materials chosen. In addition, the program assists in the design for assembly by: (1) requiring the product development team to think about the assembly process early in the design stage; (2) providing a visualization of the relationship of all components comprising the product to its other components; (3) requiring the specification of the order in which they are to be assembled; and (4) requiring the selection of assembly processes that are compatible with each other and the materials chosen. It also requires the specification of the capabilities of the factory that is going to make one or more of the components of the product, and requires that Make/Buy decisions for the parts comprising the product be made.

A Novel Scientific Approach to Compare the Effectiveness of Well Stimulation and Artificial Lifting

2021 ◽  
pp. 1-17
Author(s):  
Mitra Abbaspour ◽  
Hojjat Mahdiyar ◽  
Yousef Kazemzadeh ◽  
Mehdi Escrochi ◽  
Mohsen Nasrabadi
Keyword(s):  
Production Rate ◽  
Productivity Index ◽  
Production Engineering ◽  
New Approach ◽  
Integrated Simulation ◽  
Well Stimulation ◽  
Current State ◽  
Scientific Approach ◽  
State Production

Abstract Production rate decline is one of the most common challenges in production engineering. Obviously, the first step to overcome this challenge is to understand its main reason. In this article a new approach is developed which can be used to compare the effectiveness of artificial lifting and well stimulation. The method is based on a couple of charts which summarize the results of integrated simulation of formation and well-column. In the first graph, called FPI curve, production rate is drawn as a function of productivity index. Some important points are also specified on this diagram which are current state, production rate at maximum possible productivity index and production rate when the well is equipped with a pump or gas lifting. In the second graph derivative of production rate of different wells are drawn as a function of productivity index. The analysis of three actual wells with conventional IPR-TPR curves and also our suggested curves is discussed in this paper. It is seen that the introduced approach can be used as a powerful tool to predict the effectiveness of well stimulation and artificial lifting and make a clear comparison between them.

scholarly journals Resource Utilization Efficiencies in a Closed System with Artificial Lighting during Continuous Lettuce Production

Agronomy ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 723 ◽  
Author(s):  
Katsumi Ohyama ◽  
Junichi Yamaguchi ◽  
Ayumi Enjoji
Keyword(s):  
Environmental Impact ◽  
Production Rate ◽  
Resource Utilization ◽  
Urban Agriculture ◽  
Production Systems ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Plant Production ◽  
Artificial Lighting ◽  
Consumption Rates

New plant production systems with a low environmental impact (or a high resource utilization efficiency) are necessary for urban agriculture development. This study explores the benefits of closed plant production systems (CPPSs) with artificial lighting using a commercial CPPS at Osaka Prefecture University. Lettuce plants were produced continuously as a model for analyzing resource consumption rates, such as electricity, labor, water, and CO2, over two years. Monthly consumption rates of electricity, labor, water, and CO2 increased with the increase in the monthly production rate of the lettuce. The utilization efficiencies (=output/input) of electricity, energy, water, and CO2 were 1.0%, 1.0%, 4.0%, and 32.6%, respectively. If the commercial CPPS maintains the monthly production rate at a higher level, the energy utilization efficiency will increase. The number of air exchanges in a commercial CPPS should decrease to increase water and CO2 utilization efficiencies. Reusing water drained from the air conditioning system and employing a closed loop in the nutrient supply system also contribute to increasing the water utilization efficiency and lowering the environmental impact. Although a commercial CPPS still requires further improvements, it may be a good crop production system for urban agriculture provided resource utilization efficiencies improve.

An optimal inventory model with interaction of lot size, production rate and lead-time in a fuzzy back-order system

2019 ◽  
Vol 53 (2) ◽  
pp. 517-538
Author(s):  
S. Priyan ◽  
P. Mala ◽  
S. Tiwari
Keyword(s):  
Decision Making ◽  
Production Rate ◽  
Lead Time ◽  
Trade Credit ◽  
Strategic Decision ◽  
Sensitivity Analyses ◽  
Order System ◽  
Lot Size ◽  
Order Rate ◽  
Back Order

This paper examines the decision-making about the interaction of lot size, production rate and lead time between a vendor and a buyer with the consideration of trade credit and fuzzy back-order rate. We assume that the lead time demand is distribution free and the back-order rate is triangular fuzzy number. An economic model is design to determine the optimal lot-size, production rate and lead time while minimizing system total cost. A minimax approach is applied to tackle the model and designed an iterative algorithm to obtain the optimal strategy. Numerical example and sensitivity analyses are given to demonstrate the performance of the proposed methodology and to highlight the differences between crisp and the fuzzy cases. This paper provides optimal decision support tools for managers in the form of mathematical model that improve operational, tactical, and strategic decision making in the fuzzy system. This paper aims to raise the awareness of managers with regard to realistic inventory problems.

Sign in / Sign up

Export Citation Format

Share Document