Bridging the gap between production management and economics Part 1 A micro production model

1984 ◽  
Vol 22 (5) ◽  
pp. 747-758 ◽  
Author(s):  
NORMAN K. POWELL ◽  
RAY LEONARD
2008 ◽  
Vol 07 (02) ◽  
pp. 195-219 ◽  
Author(s):  
HIROHISA SAKAI ◽  
KAKURO AMASAKA

Traditional TPS (Toyota Production System), the foundation of JIT (Just in Time), has contributed to global business in the latter half of the 20th century as a Japanese production management system methodology. At present, Japanese companies are endeavoring to survive in a competitive market by expanding their global production, achieving globally consistent levels of quality, and carrying out simultaneous new model launches. An advanced production management principle, "Advanced TPS", has been proposed, involving the systematization of Japanese production management methodologies as a strategic tool for global production. The effectiveness of the proposed "Advanced TPS" was verified at Toyota Motor Corporation.


Author(s):  
Kakuro Amasaka

An advanced production management principle, the New Japan Production Model to further advance TPS (Toyota Production System) called the Advanced TPS is proposed, which involves the systematization of Japanese production management methodology for strategic production. The New Japan Production Modela new management technology principle, proposed and verified in previous studieswas developed through establishing a Global Production Technology and Management Model based on New JIT utilizing three core technologies (TMS, TDS, and TPS), which relates to hardware systems, and Science TQM, which relates to software systems. Formation of the model through utilization of these core technologies signifies the high linkage of business processes that enables a speedy production cycle by using Intelligent Quality Control System, TPS-QAS, Highly Reliable Production System, V-MICS, Renovating Work Environment, TPS-IWQM and Bringing up Intelligent Operators, V-IOS. Effectiveness of the proposed New Japan Production Model was verified at Toyota Motor Corporation.


2020 ◽  
Vol 10 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Innocent Chigozie Osuizugbo

AbstractGap of building production management (BPM) is a serious issue that influences project success and building construction firms’ (BCFs) performance. Hence, the call for BCFs performance improvement using a new production model approach is a necessity. The aim of this study is to investigate the role of the new production model concept as a method for enhancing the performance of BCFs through addressing the gap of BPM in Nigeria. To attain this aim, a research procedure was designed to achieve two objectives which include: (i) exploring the nature of Nigerian construction industry, gap of BPM and new production model concept; (ii) investigating the awareness and application of the new production model concept as a method for enhancing the performance of BCFs in the study area. To accomplish the aforementioned aim, a research method comprised of a literature review and questionnaire surveys was designed to address the objectives. The study identified unproductive/ineffective BPM, lack of buildability and maintainability analysis, professionalism mismatch, and unauthorized practices as the gap of BPM. This study revealed that the gap of BPM is the main reason behind building failures/collapses, bad debts, low productivity, low level of clients satisfaction, high labour turnovers, and barriers to economic fortune. The study also revealed poor cash flow, lack of experience in the construction field, unprofessionalism and a high number of unskilled employees in a company, lack of co-operation from subcontractors and suppliers and poor labour relations, as the top five causes of BPM gap. BCFs in Nigeria have adopted several approaches to arrest these issues, but the challenges still occur. Thus, the new production model concept that has not been well adopted by construction firms in Nigeria, and which emphasizes on-site production, and aims at enhancing production management is a key to tackling these issues. Based on the survey findings, the study recommended that the issue of the gap of BPM must be correctly identified and clearly understood so as to enable BCFs to bridge the production management gap which will influence their performance positively.


2013 ◽  
Vol 416-417 ◽  
pp. 1434-1438
Author(s):  
Xian Jing Ruan

The application of RFID technology in the new energy automobile manufacturing, can achieve that the visualization, on time and collaborative business processes of energy vehicles discrete manufacturing production process, to establish a advanced "just-in-time" production model, provide real-time and accurate information for production plans and management decisions, which will help to improve the quality of enterprise production management decision-making and the overall optimization of production operations management functions. On the basis of proposed mainly from management systems and supporting techniques to solve the security issues of the RFID system, give the basic framework of build the RFID system safety management system. The security of the RFID system is technically divided into two security domains, focusing on security issues by the reader to the application system. The intrusion detection technology is introduced in RFID system, and research on the improved of intrusion detection from two aspects: First, the use of clustering algorithm for data preprocessing to reduce the computational complexity, improve the detection efficiency; second, use immune particle swarm evolutionary algorithm directly improved feature selection to improve detection accuracy.


Mathematics ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 13 ◽  
Author(s):  
Muhammad Tayyab ◽  
Biswajit Sarkar ◽  
Bernardo Yahya

Market conditions fluctuate abruptly in today’s competitive environment and leads to imprecise demand information. In particular, market demand data for freshly launched products is highly uncertain. Further, most of the products are generally manufactured through complex multi-stage production systems that may produce defective items once they enter the out-of-control state. Production management of a multi-stage production system in these circumstances requires robust production model to reduce system costs. In this context, this paper introduces an imperfect multi-stage production model with the consideration of defective proportion in the production process and uncertain product demand. Fuzzy theory is applied to handle the uncertainty in demand information and the center of gravity approach is utilized to defuzzify the objective function. This defuzzified cost objective is solved through the analytical optimization technique and closed form solution of optimal lot size and minimum cost function are obtained. Model analysis verifies that it has successfully achieved global optimal results. Numerical experiment comprising of three examples is conducted and optimal results are analyzed through sensitivity analysis. Results demonstrate that larger lot sizes are profitable as the system moves towards a higher number of stages. Sensitivity analysis indicates that the processing cost is the most influencing factor on the system cost function.


2021 ◽  
Vol 14 (10) ◽  
pp. 1
Author(s):  
Jui-Lung Chen ◽  
Shih-Hsuan Yang

Recently, many manufacturing industries have been facing challenges such as rising material costs, small-volume and large-variety products, shortened production cycles, increased labor costs and longer after-sales service times, which is a very tough challenge for most small and medium-sized component manufacturing suppliers. In addition to the current hot topics in the manufacturing industry - Smart Manufacturing (Industry 4.0) and lean production management, if small and medium-sized enterprises are not able to adjust the pace of manufacturing timely and find a suitable production model, they will soon be overwhelmed by the torrent of the era of speed and accuracy. In the face of the dramatic changes in the industry structure, the company can deploy the global expansion of overseas customers in advance, and adjust to apply and implement a flexible manufacturing model system through the introduction of the Industrial Internet of Things and flexible manufacturing production management. In order to meet the market needs, the manufacturing industry is gradually oriented towards customized production and the rapid development of new products. To meet such stringent requirements, flexible manufacturing becomes one of the necessary ways for enterprises to consider their development models. Therefore, the efficiency and reliability of work can be improved through the Industrial Internet of Things that facilitates machine-to-machine communication, cloud-based big data and learning and imitations of smart robots. This study is an in-depth study of a company that is currently in the process of digital transformation, collecting relevant information and reviewing the analysis to find a suitable smart manufacturing solution for the company and to explore the impact of the COVID-19 pandemic on the strategic development of the company. The findings can provide a significant reference for homotypic companies in the development of their business strategies.


2014 ◽  
Author(s):  
R.. Nazarov ◽  
P.. Zalama ◽  
M.. Hernandez ◽  
C.. Rivas

Abstract Production management in mature fields is a very challenging task which involves a multidisciplinary technical approach to minimize the decline rate and extend the life of the asset/field. Most of the time Integrated Asset Modeling (IAM) techniques are applied to green fields with main objectives of identifying the “bottlenecks” or to forecast production with different development cases. In the case of mature fields it is mostly considered as an optional study with less analytical value due to low operating surface pressures, already existing facilities, known well performance and studied reservoir geology. Nevertheless the processing of the reservoir, production and operational data in mature assets through one integrated workflow facilitates field management overall, thereby helping in the estimation of the remaining reserves and indicating real opportunities for optimization not seen by initial engineering scenarios. Additionally, IAM should be incorporated before getting to EOR studies. This paper describes the applied reservoir engineering workflow and integrated production model for the TSP fields (Teak, Samaan and Poui) located in the South East of Trinidad. TSP fields are jointly owned by by Repsol (70%), Petrotrin (15%) and NGC (15%) and are operated by Repsol. Current production of TSP is 13, 500 bopd. The oil produced from these fields is generally light oil, with an average range of 25-40 API and a solution GOR 200-1400scf/stb. Gas lift is the artificial lift system used in 95% of the wells. Average water cut is around 85%. Interaction of Production Engineering, Subsurface, Drilling, HSE, Facilities, and Maintenance departments is the key aspect to sustain the efficient operability of the TSP fields and operate at peak performance in spite of ageing installations, flow assurance problems and depleted reservoirs. The implementation of Operated Asset Structure in TSP in 2013 reinforced the cooperation between departments to achieve the main goals: minimum production deferrals, production optimization, screening of new opportunities and reserves, process improvement, facilities maintenance and effective logistics. Additionally, the Integrated Asset Modeling has been incorporated as part of the engineering surveillance which includes 3 fields, 100 wells, gas lift injection network, gas compressors, water treatment plant, etc. Real data from different sources and platforms, such as pressure temperature sensors, daily measured well parameters, reported operational figures, monthly welltests and screened remaining reserves are jointly transferred to the integrated model, built in commercial software (GAP/RESOLVE), bringing the field data processing and production management to the state-of-the-art level. Gas lift volume availability and system pressure, performed rigless intervention jobs (including recompletion of new zones), change of the fluid composition in certain wells, reconfiguration of facilities are timely reflected in the TSP integrated model. Based on the sensitivity runs and output results immediate actions are taken to comply with the production target.


1935 ◽  
Vol 14 (7) ◽  
pp. 410
Author(s):  
F. Allen ◽  
F. Pearson ◽  
George Still ◽  
R.H. Youngash ◽  
E.T. Cooke ◽  
...  

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