Joint optimization of production and maintenance for multi-machines subject to degradation and subcontracting constraints

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nouhayla Hafidi ◽  
Abdellah El Barkany ◽  
Abderrahman EL Mhamedi ◽  
Morad Mahmoudi
Keyword(s):  
Decision Maker ◽  
Manufacturing Industry ◽  
Parallel Machines ◽  
Unit Cost ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Pattern Search ◽  
Content Type ◽  
Real Mode ◽  
The Impact

PurposeThe purpose of this paper is to consider various possible constraints of the problem of production and maintenance planning control for a multi-machine under subcontracting constraint, in order to bring the manufacturer industry closer to real mode. In this paper, we present an efficient and feasible optimal solution, by comparing optimization procedures.Design/methodology/approachOur manufacturing system is composed of parallel machines producing a single product, to satisfy a random demand under a given service level. In fact, the demand is greater than the total capacity of the set of machines; hence there rises a necessity of subcontracting to complete the missing demand. In addition, we consider that the unit cost of subcontracting is a variable depending on the quantity subcontracted. As a result, we have developed a stochastic optimal control model. Then, to solve the problem we compared three optimization methods: (exact/approximate), the genetic algorithm (GA), the Pattern Search (PS) and finally fmincon. Thus, we validate our approach via a numerical example and a sensitivity analysis.FindingsThis paper defines an internal production plan, a subcontracting plan and an optimal maintenance strategy. The optimal solution presented in this paper significantly improves the ability of the decision maker to consider larger instances of the integrated model. In addition, the decision maker can answer the following question: Which is the most optimal subcontractor to choose?Practical implicationsThe approach developed deals with the case of the real-mode manufacturing industry, taking into consideration different constraints and determining decision variables which allow it to expand the profits of the manufacturing industry in different domains such as automotive, aeronautics, textile and pharmacies.Originality/valueThis paper is one of the few documents dealing with the integrated maintenance in subcontracting constraint production which considers the complex aspect of the multi-machine manufacturing industry. We also dealt with the stochastic aspect of demand and failures. Then, we covered the impact of the unit cost variation of subcontracting on the total cost. Finally, we shed light on a comparison between three optimization methods in order to arrive at the most optimal solution.

Does investment in innovation impact firm performance in emerging economies? An empirical investigation of the Indian food and agricultural manufacturing industry

2021 ◽  
Vol 13 (2) ◽  
pp. 233-248
Author(s):  
Manogna R.L. ◽  
Aswini Kumar Mishra
Keyword(s):  
Firm Performance ◽  
Manufacturing Industry ◽  
Emerging Market ◽  
Developed Countries ◽  
Emerging Economy ◽  
Content Type ◽  
Agricultural Industry ◽  
Indian Food ◽  
The Impact ◽  
The Relationship

Purpose The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure. Design/methodology/approach The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity. Findings The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms. Research limitations/implications This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries. Originality/value To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.

Differences in the impact of AMO bundles of line managers and frontline workers on the performance of manufacturing firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Bayo-Moriones ◽  
Alejandro Bello-Pindado
Keyword(s):  
Manufacturing Industry ◽  
Manufacturing Firms ◽  
Manufacturing Companies ◽  
Linear Regression Models ◽  
Line Managers ◽  
Content Type ◽  
Frontline Workers ◽  
Hrm Practices ◽  
Manufacturing Performance ◽  
The Impact

PurposeThe purpose of this paper is to analyse the impact on manufacturing performance of human resource management (HRM) practices across two job levels within manufacturing firms in Argentina and Uruguay: that of line managers and frontline workers. HRM practices are categorised into three bundles defined by the AMO theoretical framework: ability, motivation and opportunity.Design/methodology/approachThe article uses data from a survey to 301 manufacturing plants in Uruguay and Argentina. Given the characteristics of the dependent variable, linear regression models have been estimated in order to test the hypotheses.FindingsThe results show that the ability and opportunity bundles for line managers are positively associated with manufacturing performance. However, only the motivation bundle affects manufacturing performance for frontline workers.Research limitations/implicationsThe main limitations are the use of cross-sectional data, the focus on two specific countries and the analysis of two employee categories that are not completely homogenous. The paper extends the contingency perspective in HRM by examining the relevance of job level as a contingent factor in the HRM-performance relationship in the manufacturing industry.Practical implicationsThe results suggest that manufacturing companies should target HR investments more towards line managers than to frontline employees. More specifically, they should concentrate efforts on the ability and opportunity bundles.Originality/valueThe article contributes to the very limited empirical evidence on the impact of HRM differentiation on firm performance by analysing sub-dimensions in a context not previously analysed.

Pulp mill process closure: a review of global technology developments and mill experiences in the 1990s

2004 ◽  
Vol 50 (3) ◽  
pp. 183-194 ◽  
Author(s):  
S.C. Stratton ◽  
P.L. Gleadow ◽  
A.P. Johnson
Keyword(s):  
Manufacturing Industry ◽  
Pollution Prevention ◽  
Optimal Solution ◽  
Pulp Mill ◽  
Thermomechanical Pulp ◽  
Pulp Mills ◽  
Oxygen Delignification ◽  
Manufacturing Operations ◽  
The Impact ◽  
Mill Process

The impact of effluent discharges continues to be an important issue for the pulp manufacturing industry. Considerable progress has been made in pollution prevention to minimize waste generation, so-called manufacturing “process closure.” Since the mid-1980s many important technologies have been developed and implemented, many of these in response to organochlorine concerns. Zero effluent operation is now a reality for a few bleached chemi-thermomechanical pulp (BCTMP) pulp mills. In kraft pulp manufacturing, important developments include widespread adoption of new cooking techniques, oxygen delignification, closed screening, improved process control, new bleaching methods, and systems that minimize pulping liquor losses. Coupled to this is a commitment to reduce water use and maximize reuse of in-mill process streams. Some companies pursued bleach plant closure, and many have been successful in eliminating a portion of their bleaching wastewaters. However, the difficulties inherent in closing bleach plants are considerable. For many mills the optimal solution has been found to be a high degree of closure coupled with external biological treatment of the remaining process effluent. No bleach plants at papergrade bleached kraft mills are known to be operating effluent-free on a continuous basis. This paper reviews the important worldwide technological developments and mill experiences in the 1990s that were focused on minimizing environmental impacts of pulp manufacturing 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.

Lean Six Sigma: a clinical treatment for the recovery of Indian manufacturing sector from the after-effects of coronavirus

2020 ◽  
Vol 17 (3) ◽  
pp. 311-322 ◽  
Author(s):  
Harsimran Singh Sodhi
Keyword(s):  
Six Sigma ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Lean Six Sigma ◽  
Clinical Treatment ◽  
Content Type ◽  
After Effects ◽  
The World ◽  
Tools And Techniques ◽  
The Impact

PurposeManufacturing industry is quite badly hit due to the coronavirus. Manufacturing has been stopped in every country. The present study will provide assistance to the practitioners to recover manufacturing sector from the after-effects of coronavirus.Design/methodology/approachA thorough review of the recent articles published in the newspaper and web has been done to make a viewpoint on the global industrial impact due to epidemic corona. Reports of WHO, IMF, World Bank, RBI and so forth are also reviewed. Further, Lean Six Sigma has been suggested which can be implemented to recover manufacturing industry from the ill effects of corona.FindingsIn present study the problem causd in the manufacturing sector due to corona virus has been identified and a clinical treatment for the same has been proposed by using the tools and techniques of Lean Six Sigma.Originality/valueThe impact of coronavirus has become a huge issue not only for the physical health of human beings but also for the economic health of most of the countries in the world, as it is pushing the world economy toward huge economic depression. Therefore, it becomes the moral responsibility of industrial experts to suggest the tools and techniques to the manufacturing industry for faster recovery.

Factors influencing liquidity position of Indian manufacturing companies

2020 ◽  
Vol 10 (2) ◽  
pp. 243-260
Author(s):  
Amit Tripathy ◽  
Shigufta Hena Uzma
Keyword(s):  
Manufacturing Industry ◽  
Stock Exchange ◽  
Cash Holdings ◽  
Emerging Economy ◽  
Market Mechanism ◽  
Manufacturing Companies ◽  
Content Type ◽  
Factors Influencing ◽  
Indian Context ◽  
The Impact

PurposeThe purpose of this paper is to investigate the increasing demand for corporate liquidity and examines the various factors influencing the cash position of firms in India. The financial policy to hold cash gained impetus after the financial crisis when the companies faced a severe cash crunch. However, the firms operating in emerging nations have an imperfect market mechanism with stringent regulatory norms. Thus, this paper attempts to examine the determinants of corporate cash holdings in an emerging country like India.Design/methodology/approachThe paper focuses on the impact of various factors (leverage, firm size, profitability, growth along with other variables), on the cash structure of all the manufacturing companies listed on the Bombay stock exchange. The study employs panel data methodologies over a sample of 323 firms over a period of eight years from 2010 to 2017.FindingsSignificant estimators affecting cash holdings of a firm are the size of a firm, debt levels, tangibility, sales growth and research and development expense. Overall, the study finds evidence on the existence of Pecking Order theory in explaining the determinants of cash holdings in the Indian market.Research limitations/implicationsThe study attempts to explore the critical determinants of cash in the Indian context which can be useful for managers and academicians to understand how the key theories of cash holdings operate in an emerging economy like India.Originality/valueIndia is an emerging economy and has recently gained global attention and has become a hotspot for foreign investments. Thus, this paper explores pieces of evidence on the critical factors affecting cash holdings in India. The study would provide an understanding of the existing cash policy in the Indian context and attempts to find the changes in the financing structure adopted by the manufacturing industry in the given period.

A new approach of surfaces registration considering form errors for precise assembly

2020 ◽  
Vol 40 (6) ◽  
pp. 789-800
Author(s):  
Qiushuang Zhang ◽  
Xin Jin ◽  
Zhihua Liu ◽  
Zhijing Zhang ◽  
Yan Fang ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Optimal Solution ◽  
Registration Method ◽  
Content Type ◽  
Form Errors ◽  
Contact Points ◽  
Assembly Accuracy ◽  
Prediction And Control ◽  
Experimental Values ◽  
And Control

Purpose The modern manufacturing industry has put forward higher requirements for the assembly accuracy of components with the development of the industrial technology. For precision assembly, the traditional assembly process study based on tolerance has had difficulty in meeting these requirements. Hence, the distribution of the form errors must be considered. The registration between the two mating surfaces with form errors determines the parts’ assembly position, and is the basis for the prediction and control of the assembly accuracy. This study aims to provide a new surfaces registration method which takes form errors into consideration. Design/methodology/approach This study presents a new registration approach based on the minimum potential energy. A unique set of contact points on mating surfaces that meet the actual conditions can be obtained and the spatial position of the assembled part is calculated. Findings The experimental results show that the calculated values are in good agreement with the experimental values. Furthermore, the root mean square error is within 2%, which proves the validity and accuracy of the approach. Originality/value This paper provides an effective and new method for precision assembly which takes form errors into consideration. The method can give the optimal solution of the contact points, which is more consistent with the actual assembly situation and provides a basis for predicting assembly accuracy.

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.

Multi-objective optimization of parametric combination of injected slub yarn for producing knitted and woven fabrics with least abrasive damage

2017 ◽  
Vol 21 (2) ◽  
pp. 111-133 ◽  
Author(s):  
Arunangshu Mukhopadhyay ◽  
Vinay Kumar Midha ◽  
Nemai Chandra Ray
Keyword(s):  
Structural Parameters ◽  
Research Work ◽  
Optimal Solution ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Content Type ◽  
Multi Objective ◽  
Score Analysis ◽  
The Impact ◽  
Slub Yarn

Purpose This study aims to optimize the parametric combination of injected slub yarn to achieve least abrasive damage on fabrics produced from it. Design/methodology/approach Single base injected slub yarn structural parameters, vis-à-vis slub length, slub thickness and slub frequency, were varied during preparation of yarn samples under this research work. A total of 17 yarn samples were produced according to the Box and Bhenken design of the experiment. Subsequently knitted and woven (using injected slub yarns in the weft only) fabric samples were prepared from these yarns. Yarn and fabric samples were abraded with standard instruments to see the impact of yarn structural parameters on abrasive damage of fabric in terms of fabric mass loss and appearance deterioration. From the test results, empirical models relating to slub parameters and fabric abrasion behavior were developed through a backward elimination regression approach. Subsequently, a set of optimal parametric combinations was derived with multi-objective evolutionary algorithms by using MATLAB software. This was followed by ranking all optimal solutions through technique for order preference by similarity to idle solution (TOPSIS) score analysis. Findings The injected slub yarn’s structural parameters have a strong influence on the abrasive damage of knitted and woven fabric. It is seen that the best suitable parametric combination of slub parameters for achieving the least abrasive damage is not the same for knitted and woven fabric. Practical implications The spinner can explore this concept to find out the best suitable parametric combination during pattern making of injected slub yarn through MATLAB solution followed by TOPSIS score analysis based on their priority of criteria level to ensure better abrasion behavior of fabric produced. Originality/value Optimization of parametric combination of injected slub yarns will help to ensure production of fabric with most resistance to abrasion for specific applications. The studies showed that the optimal solution for woven and knitted fabrics is different. The result indicates that in the case of knitted fabric, comparatively lesser slub thickness is found to be suitable for getting better fabric abrasion resistance, whereas in the case of woven fabric, comparatively higher slub thickness is found suitable for the same.

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