The impact of a manufacturing execution system on supply chain performance

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Performance Metrics ◽  
Manufacturing Execution System ◽  
Enterprise Information ◽  
Lean Practices ◽  
Manufacturing Execution Systems ◽  
Global Operations ◽  
The Impact ◽  
Manufacturing Execution

Manufacturing Execution Systems (MES) are still rather unknown compared to their relatives, Enterprise Information Systems. To date, most research about MES focused on technical aspects and implementation approaches. In this paper, five statistical models are developed and a web-based survey among global Operations and Supply Chain managers from the manufacturing industry is conducted. Managers were invited to complete a questionnaire, where the central questions queried the mentioned performance metrics, but also other conditions like the presence of ERP or Lean practices. When comparing the means between companies with and without an MES, it shows that on each performance metric, MES-companies perform better than non-MES companies do. The results of the statistical analysis support the authors’ claim that companies with an MES in place outperform their competitors without an MES on the inventory- and logistics performance, as well as on Order Lead Time.

scholarly journals A Technical and Business Perspective on Wireless Sensor Network for Manufacturing Execution System

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Wei Xu ◽  
Zhixin Yang ◽  
Xianbo Wang
Keyword(s):  
Supply Chain ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Stackelberg Games ◽  
Chain Model ◽  
Manufacturing Execution System ◽  
Business Perspective ◽  
The Impact ◽  
Manufacturing Execution

Motivated by the complex production management with difficulties in error-prone assembly system and inaccurate supply chain inventory, this paper designs a novel manufacturing execution system (MES) architecture for intelligent monitoring based on wireless sensor network (WSN). The technical perspective includes analysis on the proposed manufacturing resource mutual inductance method under active sensing network, appreciation technology of multisource information, and dynamic optimization technology for manufacturing execution processes. From business perspective, this paper elaborates the impact of RFID investment on complex product by establishing a three-stage supply chain model that involves two suppliers carrying out Stackelberg games (manufacturer and retailer). The optimal cost threshold values of technology investment are examined for both the centralized and the decentralized scenarios utilizing quantitative modeling methods. By analyzing and comparing the optimal profit with or without investment on WSN, this paper establishes a supply chain coordination and boosting model. The results of this paper have contributed significantly for one to make decision on whether RFID should be adopted among its members in supply chain. The system performance and model extension are verified via numerical analyses.

A Practical Approach to Manufacturing Execution Systems at Bosch AvP

2019 ◽  
pp. 224-244
Author(s):  
Maria João Lopes ◽  
Duarte Almeida ◽  
Francisco J. A. Cardoso
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Theoretical Concept ◽  
Shop Floor ◽  
Chain Management ◽  
Manufacturing Operations ◽  
Manufacturing Execution Systems ◽  
Hands On ◽  
The Impact ◽  
Manufacturing Execution

With Industry 4.0 related initiatives, a brand new array of opportunities has emerged for organizations to face the ordeals that come with managing ever-growing manufacturing needs. The exponential increase in the complexity of supply chain management has put a real strain on manufacturing operations. In order to succeed, organizations must turn to solutions such as manufacturing execution systems (MES) in order to stay competitive. In this research chapter, we discuss the impact of MES in organizations, whilst describing the process for going from a theoretical concept to a hands-on system which runs the shop floor operations.

Internet of Things – the future of managing supply chain risks

2020 ◽  
Vol 25 (5) ◽  
pp. 535-548 ◽  
Author(s):  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Internet Of Things ◽  
Manufacturing Industry ◽  
Radical Change ◽  
Data Availability ◽  
Information Requirements ◽  
Case Study Methodology ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

The impact of implementing green supply chain management practices on corporate performance

2016 ◽  
Vol 26 (3) ◽  
pp. 216-245 ◽  
Author(s):  
Hassan Younis ◽  
Balan Sundarakani ◽  
Prakash Vel
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Social Performance ◽  
Operational Performance ◽  
Green Supply Chain ◽  
Research Model ◽  
Environmental Cooperation ◽  
Content Type ◽  
Green Purchasing ◽  
The Impact

Purpose The purpose of this research is to investigate the implementation of green supply chain management (GSCM) practices and its impact on corporate performance (CP). The research in particular examines the results of implementing a set of GSCM practices on different dimensions of the CP. Design/methodology/approach This study, being the first of its kind in the Middle East, developed a research model to test the relationship between four main GSCM practices namely, eco-design, green purchasing, environmental cooperation and reverse logistics, and four dimensions of CP: operational performance, environmental performance, economic performance and social performance, while controlling three main variables (firm size, firm age and environment management system certification). Statistical analyses were based on the data collected, through survey questionnaires, from 117 firms in the manufacturing industry in the UAE. Reliability and validity of the research model were tested by the commonly accepted statistical tools. To test the hypotheses relating implementation of GSCM practice and CP, multiple regression analysis was used. Findings The finding of the study was that GSCM practices impact the CP dimensions differently. While none of the four GSCM practices were found to have any impact on the environmental performance, green purchasing and environmental cooperation were found to have a significant impact on the operational performance. The study found that only green purchasing plays a role in improving the economic performance, while only reverse logistics practices were found to impact the social performance of the firm positively. Research limitations/implications Research on GSCM is still in the nascent stage. Further refinement of the survey to differentiate between different manufacturing industries might be needed. Generalizability of the findings is also limited because of data collected from manufacturing firms in the UAE. This research provides important insights. The findings of this research are generally consistent with those of prior studies in other parts of the world. Firms in manufacturing industry in the UAE believe that GSCM practices help the company design and develop better products which, in turn, increase the company chances in selling its products in the international markets while, at same time, improving the average profit and market share. It was also found that the UAE firms believe that implementation of GSCM practices help improve the corporate image, enhance employees’ job satisfaction and improve employees’ health and safety. Practical implications Implementation of GSCM practices improves CP in different ways. Supply chain managers are required to decide on the CP dimension they want to improve and accordingly select the appropriate GSCM practices mix that leads to the desired level of improvement. Originality/value Although few earlier researches studied the impact of GSCM on CP, this study is different and makes a unique contribution by offering a holistic view of the impact of implementing four main GSCM practices on all dimensions of CP. The study offers some insights on the type of GSCM practices the firm needs to adopt to improve the targeted performance dimension.

Value of IT in supply chain planning

2015 ◽  
Vol 28 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Christoph Fuchs ◽  
Andreas Otto
Keyword(s):  
Supply Chain ◽  
Value Creation ◽  
Manufacturing Industry ◽  
Continuous Production ◽  
Future Research ◽  
Supply Chain Planning ◽  
Production Flow ◽  
Content Type ◽  
Value Of It ◽  
The Impact

Purpose – The purpose of this paper is to understand value creation of information technology (IT) in supply chain planning (SCP). The impact of different IT components in SCP remains unclear and requires some thorough research. In addition, an analysis of the optimization dimension provides insights into intra-functional, inter-functional and cross-company optimization. Design/methodology/approach – A survey was conducted among German companies using a continuous production flow. In total, 47 of 193 contacted companies completed the web survey, which corresponds to a response rate of 24 percent. Findings – IT functionality for SCP is widely spread. The value of IT functionality in SCP is tremendous. Implementations in demand fulfillment and available-to-promise (ATP) have the biggest value creation potential. Supply chain performance indicators can be improved by investments in certain functional domains. Packaged standard software is widely distributed and should be considered as the first option. IT functionality to improve intra-functional processes is significantly more often implemented than IT functionality for inter-functional or cross-company process optimization although the realized value is comparable. Research limitations/implications – Respondents of the survey are limited to the German continuous production flow industry. Future research could be interesting in the discrete manufacturing industry. Originality/value – The paper provides empirical insights into the value of IT in SCP where data are less available than in the ERP context. Furthermore, this paper provides first insights into the optimization dimension whether processes are optimized intra-functional, inter-functional or cross-company.

Object Petri Nets Based Monitoring for the Aircraft Assembly System in MES

2011 ◽  
Vol 55-57 ◽  
pp. 723-728
Author(s):  
Feng Wu ◽  
Le Zhang
Keyword(s):  
Petri Nets ◽  
Monitoring System ◽  
Rapid Prototype ◽  
Computer Integrated Manufacturing ◽  
Assembly System ◽  
Manufacturing Execution System ◽  
Monitoring Design ◽  
Aircraft Assembly ◽  
Manufacturing Execution Systems ◽  
Manufacturing Execution

Monitoring design is one of basic problems during the development of manufacturing execution systems. In this paper we study the monitoring problems for the Aircraft assembly system in manufacturing execution system environment according to the computer integrated manufacturing system architecture of the Aircraft Company in China. We show that the problem of designing monitoring system for manual assembly system is reducible to modeling and synthesizing problem of monitoring system based on Object Petri Nets. Next the problem of implementing the monitoring system results in designing of structure and functions of the monitoring system. In particular, an efficient rapid prototype schema for implementation is presented. An application is demonstrated how to deal with object Petri nets based monitoring for the aircraft vertical fin assembling.

The moderating effect of Lean supply chain management on the impact of Lean shop floor practices on quality and inventory

2017 ◽  
Vol 22 (6) ◽  
pp. 473-485 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Guilherme Luz Tortorella ◽  
Alejandro Germán Frank ◽  
Moacir Godinho Filho
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Metrics ◽  
Shop Floor ◽  
Chain Management ◽  
Content Type ◽  
Inventory Turnover ◽  
The Impact ◽  
Lean Supply Chain ◽  
Supplier Relationship

Purpose The purpose of this paper is to understand the relationship between the implementation of Lean shop floor (LSF) practices and Lean supply chain management, and their effect on quality and inventory turnover. Design/methodology/approach A survey-based research method was conducted and data were collected from 110 plants located in Brazil. The research constructs were validated through rigorous procedures (unidimensionality and discriminant validity and reliability) through confirmatory factor analysis and two hypotheses were tested using ordinary least square regression. Findings The results indicate that: Lean supplier relationship positively moderates the effect of LSF practices on inventory turnover; Lean customer relationship negatively moderates the effect of LSF practices on inventory turnover; and Lean supplier relationship positively moderates the effect of LSF practices on quality. Originality/value From a theoretical perspective, the results of this study provide evidences supporting the importance of understanding the systemic relationships between Lean implementation at the shop floor and the firm’s relationships with supply chain partners, that was not tested before. As managerial implications, the results suggest that managers should take a decision to foster a Lean supply chain management depending on which performance metrics they need to improve: quality or inventory turnover.

scholarly journals An Insider Threat Categorization Framework for Automated Manufacturing Execution System

2019 ◽  
Vol 3 (02) ◽  
pp. 31-41
Author(s):  
Nur Ameera Natasha Mohammad ◽  
Warusia Mohamed Yassin ◽  
Rabiah Ahmad ◽  
Aslinda Hassan ◽  
Mohammed Nasser Ahmed Al Mhiqani
Keyword(s):  
Insider Threat ◽  
Automated Manufacturing ◽  
Manufacturing Execution System ◽  
Previous Researcher ◽  
Insider Threats ◽  
Manufacturing Execution Systems ◽  
Or Groups ◽  
Standard Framework ◽  
Manufacturing Execution ◽  
Human Systems

Insider threats become one of the most dangerous threats in the cyber world as compared to outsider as the insiders have knowledge of assets. In addition, the threats itself considered in-visible and no one can predict what, when and how exactly the threat launched. Based on conducting literature, threat in Automated Manufacturing Execution Systems (AMESs) can be divided into three principle factors. Moreover, there is no standard framework to be referring which exist nowadays to categorize such factors in order to identify insider threats possible features. Therefore, from the conducted literature a standard theoretical categorization of insider threats framework for AMESs has been proposed. Hence, three principle factors, i.e. Human, Systems and Machine have considered as major categorization of insider threats. Consequently, the possible features for each factor identified based on previous researcher recommendations. Therefore, via identifying possible features and categorize it into principle factors or groups, a standard framework could be derived. These frameworks will contribute more benefit specifically in the manufacturing field as a reference to mitigate an insider threat.   Keywords—automated manufacturing execution systems insider threats, factors and features, insider threat categorization framework.

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