scholarly journals A Generic Methodology for Calculating Rescheduling Time for Multiple Unexpected Events in the Era of Zero Defect Manufacturing

2021 ◽  
Vol 7 ◽  
Author(s):  
Foivos Psarommatis ◽  
Giacomo Martiriggiano ◽  
Xiaochen Zheng ◽  
Dimitris Kiritsis
Keyword(s):  
Response Time ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Dynamic Environment ◽  
Manufacturing Companies ◽  
Event Management ◽  
Unexpected Events ◽  
Management Algorithm ◽  
Definition Of

Nowadays, the manufacturing industry is constantly changing. Production systems must operate in a highly dynamic environment where unexpected events could occur and create disruption, making rescheduling inevitable for manufacturing companies. Rescheduling models are fundamental to the robustness of production processes. This paper proposes a model to address rescheduling caused by unexpected events, aiming to achieve the zero-defect manufacturing (ZDM) concept. The goal of the model is to incorporate traditional and ZDM–oriented events into one methodology to calculate when the next rescheduling will be performed to effectively react to unexpected events. The methodology relies on the definition of two key time parameters for each event type: event response time (RT) and event delay response time (DRT). Based on these parameters, an event management algorithm is designed to identify the optimal rescheduling solution. The DRT parameter is calculated based on a multi-parametric dynamic formula to capture the dynamics of production. Moreover, ANOM, and ANOVA methods are used to analyse the behaviour of the developed method and to assess the level of robustness of the proposed approach. Finally, a case study based on real production scenarios is conducted, a series of simulation experiments are performed, and comparisons with other rescheduling policies are presented. The results demonstrate the effectiveness of the proposed event management algorithm for managing rescheduling.

scholarly journals Appropriate Smart Factory for SMEs: Concept, Application and Perspective

2020 ◽  
Vol 22 (1) ◽  
pp. 201-215
Author(s):  
Woo-Kyun Jung ◽  
Dong-Ryul Kim ◽  
Hyunsu Lee ◽  
Tae-Hun Lee ◽  
Insoon Yang ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Low Cost ◽  
Smart Factory ◽  
Small Data ◽  
Manufacturing Companies ◽  
Technical Application ◽  
Definition Of ◽  
Garment Manufacturing

AbstractIn the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.

Territorial capital as a company intangible

2016 ◽  
Vol 17 (1) ◽  
pp. 148-167 ◽  
Author(s):  
Mariachiara Barzotto ◽  
Giancarlo Corò ◽  
Mario Volpe
Keyword(s):  
Great Difficulty ◽  
Future Research ◽  
Manufacturing Companies ◽  
Policy Makers ◽  
Content Type ◽  
Capital Growth ◽  
Multiple Case ◽  
Definition Of ◽  
A Company

Purpose – The purpose of this paper is twofold. First, to explore to what extent being located in a territory is value-relevant for a company. Second, to understand if a company is aware of, and how it can sustain, the territorial tangible and intangible assets present in the economic area in which it is located. Design/methodology/approach – The study presents an empirical multiple case-study, investigating ten mid-/large-sized Italian companies in manufacturing sectors. Findings – The results indicate that the sampled manufacturing companies are intertwined with the environment in which they are embedded, both in their home country and in host ones. The domestic territorial capital has provided, and still provides, enterprises with workers endowed with the necessary technical skills that they can have great difficulty in finding in other places. In turn, companies support territorial capital generation through their activities. Research limitations/implications – To increase the generalisability of the results, future research should expand the sample and examine firms based in different countries and sectors. Practical implications – Implications for policy makers: developing effective initiatives to support and guide a sustainable territorial capital growth. Implications for managers and investors: improving managerial and investors’ decisions by disclosing a complete picture of the enterprise, also outside the firm boundaries. Originality/value – The study contributes to intangibles/intellectual capital literature by shedding light on the importance of including territorial capital in a company’s report to improve the definition of the firm’s value. Accounting of the territorial capital would increase the awareness of the socio-economic environment value in which companies are located and its use.

Managing Complexity in Manufacturing Changeovers: A Sustainable Manufacturing-Oriented Approach and the Application Case Study

2016 ◽  
Author(s):  
Khalid Mustafa ◽  
Kai Cheng
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Business Models ◽  
Sustainable Manufacturing ◽  
Lead Times ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Manufacturing Complexity ◽  
Oriented Approach

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.

Reshoring drivers and barriers in the Swedish manufacturing industry

2018 ◽  
Vol 11 (2) ◽  
pp. 174-201 ◽  
Author(s):  
Gabriella Engström ◽  
Kristina Sollander ◽  
Per Hilletofth ◽  
David Eriksson
Keyword(s):  
Manufacturing Industry ◽  
Future Research ◽  
Location Decisions ◽  
Location Decision ◽  
Manufacturing Companies ◽  
Content Type ◽  
Manufacturing Location ◽  
Practical Implications ◽  
Insight Into

PurposeThe purpose of this study is to explore reshoring drivers and barriers from a Swedish manufacturing perspective.Design/methodology/approachThis paper is a case study, including four Swedish manufacturing companies, with focus on drivers and barriers from the context of the Swedish manufacturing industry. A literature review of previously established drivers and barriers is used to map out the empirical findings and thereby identify potential gaps between the current body of literature and drivers and barriers from a Swedish manufacturing context.FindingsThe findings of the study suggest that quality issues continue to be one of the strongest reshoring drivers. Except for product quality, quality is also connected to host country’s infrastructure, communication and service. The supply chain perspective is a source of several drivers and is identified as a perspective often overlooked in offshoring decisions. Barriers related to firm specifics were more elaborately discussed by the companies, especially concerning calculation of location decision and the need to invest in resources, which allows for a higher level of capacity at the home country facility.Research limitations/implicationsThe study develops a structured table of reshoring drivers and barriers which can serve as a base for future research. Future research on the calculation of location decisions is deemed as a crucial step to further understand reshoring and aid companies in the decision-making process.Practical implicationsThe drivers and barriers identified in the study can give practitioners insight into reshoring from the perspective of the Swedish manufacturing industry and thus aid in future manufacturing location decisions. The table of drivers and barriers can also be important to understand how Sweden can strengthen its competitive advantage and motivate more companies to reshore manufacturing.Originality/valueThis is one of only few papers from the Nordic countries and also one of few case studies examining reshoring in manufacturing companies.

scholarly journals Challenges in developing modular services in manufacturing companies: A multiple case study in Danish manufacturing industry

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 399-404 ◽  
Author(s):  
Maria Stoettrup Schioenning Larsen ◽  
Ann-Louise Andersen ◽  
Kjeld Nielsen ◽  
Thomas Ditlev Brunoe
Keyword(s):  
Manufacturing Industry ◽  
Multiple Case Study ◽  
Manufacturing Companies ◽  
Multiple Case

scholarly journals Understanding the organizational critical activities of manufacturers in case studies

2018 ◽  
Vol 185 ◽  
pp. 00022
Author(s):  
Wei-Hsi Hung ◽  
Tsung-Yueh Lu ◽  
Mei-Fang Wu ◽  
Yun-Chen Lin
Keyword(s):  
Case Studies ◽  
Manufacturing Industry ◽  
Future Research ◽  
Manufacturing Companies ◽  
Case Study Approach ◽  
Senior Managers ◽  
Study Approach ◽  
Internal Operations ◽  
Continuous Activities

Manufacturers tend to carry out certain important and continuous activities with respect to internal operations which could contribute to their success. These activities are termed organization critical activities (OCAs). The main objective of this study is to elicit the OCAs in the manufacturing industry to understand what can cause them to be successful. Through the case study approach including the interviews with the senior managers from three manufacturing companies in Taiwan and a series of prioritizing activities, 12 OCAs have been identified. This study found that Taiwanese manufacturers placed more importance on the activities of quality and cost control while placed relatively less importance on the marketing related activities. More findings and future research suggestions are also provided.

Factors influencing maintenance-related investments in industry: a multiple-case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Camilla Lundgren ◽  
Jon Bokrantz ◽  
Anders Skoogh
Keyword(s):  
Decision Support ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Multiple Case Study ◽  
Sustainable Production ◽  
Content Type ◽  
Factors Influencing ◽  
Multiple Case ◽  
Investment Process

PurposeThe purpose of this study is to ensure productive, robust and sustainable production systems by enabling future investments in maintenance. This study aims to provide a deeper understanding of the investment process and thereby facilitate future maintenance-related investments. The objectives are to describe the investment process, map the decision support and roles involved and identify factors influencing the process.Design/methodology/approachThe study was designed as a multiple-case study, with three industrial cases of maintenance-related investments. A structured coding procedure was used to analyse the empirical data from the cases.FindingsThis paper provides a deeper understanding of the process of maintenance-related investments. Eleven factors influencing the investment process could be identified, three of which were seen in all three cases. These three factors are: fact-based decision-support, internal integration and foresight.Practical implicationsInvestments in modern maintenance are needed to ensure productive, robust and sustainable production in the future. However, it is a challenge in manufacturing industry to justify maintenance-related investments. This challenge may be solved by developing a decision-support system, or a structured work procedure, that considers the findings of this study.Originality/valueFrom this study, an extended view of the relation between quantifying effects of maintenance and maintenance-related investment is proposed, including surrounding factors influencing the investment process. The factors were identified using a structured and transparent coding procedure which is rarely used in maintenance research.

Comparison of Different Scenarios Using Computer Simulation to Improve the Manufacturing System Productivity: Case Study

2013 ◽  
Vol 845 ◽  
pp. 770-774 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Milad Hatami ◽  
J.M. Rohani ◽  
H. Mihanzadeh ◽  
Mohammadreza Haghighi
Keyword(s):  
Computer Simulation ◽  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Waiting Times ◽  
Manufacturing Companies ◽  
System Productivity ◽  
High Resource

In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times. This is because that all of these kinds of problems impose extra cost to the companies. In addition, manufacturing companies are striving to sustain their competitiveness by improving productivity, efficiency and quality of manufacturing industry for instance high throughput and high resource utilization. The paper concentrates on the application of computer simulation to analysis manufacturing system in order to improve the productivity. Therefore, this study introduces a color manufacturing line as a case study and the basic application of arena 13.9 software. The goal of this paper is to improve the productivity and efficiency of the production line by using computer simulation. To achieve this goal, first the basic model of the current situation of production line was simulated. Second, three different alternatives were simulated and modified to find the best scenario based on the maximum productivity and minimum total cost.

scholarly journals Applying the PDCA Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study

2018 ◽  
Author(s):  
Arturo Realyvásquez-Vargas ◽  
Karina Cecilia Arredondo-Soto ◽  
Teresa Carrillo ◽  
Gustavo Ravelo
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Welding Process ◽  
Manufacturing Companies ◽  
Delivery Times ◽  
Pdca Cycle ◽  
Increasing Demand ◽  
Quality Of Products

Defects are considered one of the wastes in manufacturing systems that negatively affect the delivery times, cost and quality of products leading to manufacturing companies facing a critical situation with the customers and to not comply with the IPC-A-610E standard for the acceptability of electronic components. This is the case is a manufacturing company located in Tijuana, Mexico. Due to an increasing demand on the products manufactured by this company, several defects have been detected in the welding process of electronic boards, as well as in the components named Thru-Holes. It is for this reason that this paper presents a lean manufacturing application case study. The objective of this research is to reduce at least 20% the defects generated during the welding process. In addition, it is intended to increase 20% the capacity of 3 double production lines where electronic boards are processed. As method, the PDCA cycle, is applied. The Pareto charts and the flowchart are used as support tools. As results, defects decreased 65%, 79% and 77% in three analyzed product models. As conclusion, the PDCA cycle, the Pareto charts, and the flowchart are excellent quality tools that help decrease the number of defective components.

Key Enablers Assessment to Implement Industry 4.0 Technologies in the Future for the Turkish Manufacturing Sector

2021 ◽  
pp. 243-265
Author(s):  
Ahmet Çalık
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Adoption And Implementation ◽  
Machinery Manufacturing ◽  
Hierarchy Process ◽  
Production And Operation

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.

Sign in / Sign up

Export Citation Format

Share Document