scholarly journals A Simulation Model to Improve Productivity in the Pipe Manufacturing Industry

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Rabia Almamlook ◽  
Harith M. Ali ◽  
Arz Qwa Alden ◽  
Anad Afhaima ◽  
Faieza Saad Bodowara ◽  
...  

Improving productivity in the pipe manufacturing industry is a major challenge that manufacturing companies in contemporary competitive markets face. The purpose of this study was to improve productivity in the pipe manufacturing industry by applying manufacturing principles that employ simulation modeling. An approach to improve productivity which focuses on the process of workstations and workforces was proposed . The proposed approach’s target was to boost the productivity of providing clients’ prerequisites and leaving a few products in the store for other clients. A simulation model based on the data collected from the steel pipe company, Bansal Ispat Tubes Private Limited’s in India, was used to improve its operational performance. The research methodology included a pro-simulation model, suitable distribution and investigating data. The simulation model was created by simulating each work station and assessing all relevant processes depending on the collected data. The real job-shop data was collected from the machinery production line and supervision workers with observations made during the manufacturing process. The techniques used include videotaping of the operation, interviewing liber by a video camera. The best continuous distributions were choose to achieve a suitable statistical model. The outcomes maybe contribute to improving the productivity of the manufacturing industry. Moreover, the results might help solve scheduling problems in modeling and simulating pipe manufacturing, revealing effective strategies to increase productivity in pipe manufacturing. Thus, the findings could encourage healthy competition between businesses and industries.

2021 ◽  
Vol 12 (1) ◽  
pp. 319-340
Author(s):  
Khai Loon Lee ◽  
Teh Xing Qi

This study investigates the influence of lean and agile practices on supply chain operational performance in Malaysia manufacturing industry. The lack of IT flexibility, little information sharing, poor delivery performance, and low product quality affect responsiveness, reliability, agility, and cost of supply chain operational performance Malaysia manufacturing industry. This study has utilized the Resource-Based View (RBV) theory to strengthen the framework of this study. The research objectives in this study are to investigate the effect of lean practices and analyzed the effect of agile practices on supply chain operational performance in Malaysia manufacturing industry. To achieve the research objectives, a quantitative research approach is necessitated. The population of this study is 3626 manufacturing companies in Malaysia. The minimum sample size is 107, suggested by a G-power statistical analysis software. Besides, the cluster random sampling technique is used in sample selection. Furthermore, a total of 550 online questionnaires was distributed by email to the manufacturing industry in Malaysia and received a return of 112 responses from respondents representing a 20.36% response rate. Besides, Smart-PLS 3.0 was chosen as the software used for data analysis. Based on research findings, all of the eight hypotheses were supported. The theoretical and practical implication was presented before, the limitations and recommendations were discussed. In conclusion, lean and agile practices play a significant role in improving supply chain operational performance in the Malaysia manufacturing industry.


SIMULATION ◽  
2017 ◽  
Vol 93 (5) ◽  
pp. 363-378 ◽  
Author(s):  
Zakaria Yahia ◽  
Junichi Iijima ◽  
Nermine A Harraz ◽  
Amr B Eltawil

Most of the current simulation models focus on implementation details without grasping the essence of the system, which makes it difficult to understand the core and the stable part of an enterprise. In this paper, we develop a Design and Engineering Methodology for Organization (DEMO)-based simulation model that combines simulation and the enterprise engineering approach in order to achieve a more holistic view of the enterprise. The four-aspect DEMO models are developed for the operating room scheduling problem, which enabled us to understand the business process from different perspectives. To develop the simulation model, an expanded DEMO with implementation model (DEMO++) is applied. The AnyLogic environment is used for execution. The model evaluates the operational performance of the case mix and master surgery plans that were developed in previous studies. The initial results show the simulation potential in the performance improvement of the operating room system. Furthermore, it makes understanding and exploring the system easier.


2013 ◽  
Vol 816-817 ◽  
pp. 1133-1139
Author(s):  
Nasir Mehmood ◽  
Muhammad Umer ◽  
Ahmad Riaz

Ant Colony Optimization (ACO) is based on swarm intelligence and it is a constructive meta-heuristic which was first presented in 1991. Job Shop Scheduling Problem (JSSP) is very important problem of the manufacturing industry. JSSP is a combinatorial optimization problem which is NP-hard. The exact solution of NP-hard problem is very difficult to find. Therefore heuristics approach is the best approach for such problems. This paper shall overview the application of ant colony optimization on JSSP and Flexible Job Shop Scheduling problems (FJSSP). This paper shalll cover the major areas in which researchers have worked and it shall also recommend the future area of research in the light of this overview. This paper will also cover the quantitative analysis of the research papers which are considered in this survey. Based upon this survey some conclusions are drawn in the end.The significance of this paper is that it has covered all the efforts and major researches in the area of ACO application on JSSP and FJSSP through the inception of ACO metaheuristics. This enables the researchers and scheduling experts to overview chronologically the development of ACO on JSSP and FJSSP.


2021 ◽  
Vol 9 (2) ◽  
pp. 62-76
Author(s):  
Dr. Nageswara Rao. M, Et. al.

This article addresses flexible manufacturing system (FMS) Performance is likely to improve with employment of various resources efficiently. Initially simultaneous scheduling problems are solved by means of priority rules like first come first serve (FCFS), shortest processing time (SPT) and longest processing time (LPT) to find out the operational completion time for 120 problems. Later gene rearrangement genetic algorithm (HGA) is implemented for same set of problems with makespan as objective and the results are compared with the results of priority rules. The results are performed well by using HGA.  The same HGA is used to find the finest optimal sequence that minimize the operational completion time.  


2020 ◽  
Vol 12 (18) ◽  
pp. 7725
Author(s):  
Ng Kim-Soon ◽  
Salama A. Mostafa ◽  
Mohammad Nurunnabi ◽  
Lim Hui Chin ◽  
Nallapaneni Manoj Kumar ◽  
...  

Quality management (QM) has been intensively studied from the perspective of quality management practices (QMP) and market performance in the food manufacturing industry. However, in Asian countries, studies as regards to the sizes of food manufacturing companies are being neglected. Hence, this quantitative study investigates several aspects and focuses on the extent and level of QMP implementation among small, medium, and large food manufacturing companies in Malaysia. A survey questionnaire has been used to collect the data. In general, the results show that the components and types of QMP have the highest impact on large companies and medium companies than the smallest companies. It was found that QMP significantly related to the operational performance and market performance of the food manufacturing companies in Malaysia. Moreover, the verified QMP was particularly important to improve the effectiveness of resource control of small-sized and medium-sized enterprises. The outcome of this study serves as a framework to bring an understanding of QMP and promote continuous QM improvement means to the food manufacturing industries in Malaysia and other countries of the region.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raed El-Khalil

Purpose The purpose of this paper is to investigate lean tools correlation, interactions and implementation in manufacturing industry at multinational corporation and its impact on operational performance. Design/methodology/approach This paper used a survey questionnaire based on previous work done in the US industry. The questionnaire was distributed to 340 firms in 11 countries in the MENA region. These firms are multinational companies operating in this region post-2001, i.e. Greenfield manufacturing facilities. Total usable responses were 139 from 340 contacted by emails and phone, whereas 15 were face-to-face. The survey included 139 companies of which 66 companies were from North America, 40 from Europe and the rest were from South-East Asia (mainly Japan and South Korea). Findings Multinational manufacturing companies in MENA region are at an advanced level of lean implementation. Results present a detailed analysis of the top 16 lean practices and their impact on 15 operational performance metrics. In addition, the results also reveal a correlation and grouping/bundling of the 16 lean tools and their direct influence on the top 8 operational metrics. Research limitations/implications Because the sample size only includes multinational companies operating in MENA region, the countries’ social, economic and political issues will directly influence them. For example, some of the countries have no or very weak unions, whereas other countries give the power to the organizations to force restrictions and guidelines that cannot be followed by other organizations. Therefore, the results need to be considered with caution. Originality/value Research about lean implementation in MENA region is rare, although few companies implemented lean since day one of their establishment. This research paper provides operations managers and practitioners with a guide that links lean tools implementation to operational performance metrics objectives with more depth and breadth in comparison with previous empirical studies on the topic.


Organizacija ◽  
2020 ◽  
Vol 53 (4) ◽  
pp. 319-331
Author(s):  
Mohanad Ali Kareem ◽  
Harsha Vardhan Reddy Kummitha

AbstractBackground and purpose: Literature is lacking on how supply chain dynamic capabilities influence operational performance. This study aims to empirically investigate the impact of supply chain dynamic capabilities on operational performance in Hungarian manufacturing companies.Design/Methodology/Approach: The study used an online survey for data collection. The model is tested with data from 208 supply chain management professionals from Hungarian manufacturing industry. Structural equation modelling (SEM) was used to test the proposed hypotheses.Results: The empirical results indicate that supply chain dynamic capabilities namely; collaboration capability, agility capability, and responsiveness capability are significantly and positively associated with operational performance. However, the results show that integration capability has no significant impact on operational performanceConclusion: The study concludes that in a dynamic environment, developing supply chain dynamic capabilities can help manufacturing company managers to build effective supply chains and achieve superior performance. Further, managers need to recognize that supply chain dynamic capabilities are multidimensional and each dimension has different effects on operational performance. Also, the study provides theoretical and managerial implications that are further ‎discussed in detail.


Author(s):  
A.H. Abdul Rasib Et.al

Improvement of manufacturing production is crucial to increase productivity. ARENA is a useful simulation application to imitate the real-time result for measuring productivity. The aim of this research is to execute production smoothness improvement through ARENA simulation application. This is a collection of production information of the selected food industry, as a real case study to construct simulation model in ARENA application. From the simulation, the current manufacturing system of the food industry will be analysed. Based on the issues found,a few improvementswere suggestedfor the system. In order to prove the enforceability of the improved system, the simulation model of the improved system is to construct and analyse its real-time performance via ARENA simulation application. Finally, the most suitable improvement suggestion will be proposed for the food industry. In conclusion, this study had implemented the ARENA application to improve the smoothness of the manufacturing system.


Author(s):  
Mohamed Ahmed Darwish Abdulla Larii ◽  
◽  
Fatma Ahmed Lari ◽  
Mohamed Ahmed Darwish Abdulla Lari ◽  
◽  
...  

This study intends to find out the mediating effect of organisational culture on the relationship between information system and sustainable performance of manufacturing sector in UAE. This study used AMOS-SEM software to develop mediation model that linking the mediating relationships between Information System, Organisational Culture and Sustainable operation Performance. Data was collected through questionnaire survey among the operation staff of Abu Dhabi manufacturing companies. A total 250 questionnaires were distributed however 205 were returned and only 200 are valid which indicates a response rate of 80%. The analysis found that TPS has positive but not significant effect to SP; OIS has positive but not significant effect to SP; FMW has a positive and significant effect on SP; SDS has a negative and not significant effect to SP and SP has positive but not significant effect OC. For the path relationship between the four exogenous variables (TPS, OIS, SDS, and FMW) and the mediator variable (OC), the results are TPS has positive and significant effect to OC; OIS has positive but not significant effect to OC; FMW has positive and significant effect to OC and SDS has positive and not significant effect to OC. Collectively, the five exogenous constructs (TPS, OIS, SDS, FMW and OC) explained 89% variation in operational performance and 86% of the variation in organisational culture. However, for a mediator, it was found that OC has no significant mediating effect on the relationship between TPS and SP; OC has no significant mediating effect on the relationship between OIS and SP; OC has no significant mediating effect on the relationship between SDS and SP and OC has no significant mediating effect on the relationship between FMW and SP. it can be concluded that there is a positive relationship between information system dimensions and operational performance. However organizational culture has no contributing any mediating effect to the relationship. These findings have contributed to the body of knowledge and could be shared among the UAE manufacturing practitioners.


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