Novel Taguchi scheme–based DEMATEL methods and DEMATEL method for the principal performance indicators of maintenance in a food processing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Chidiebere Maduekwe ◽  
Sunday Ayoola Oke

PurposeKey performance indicators (KPIs) of maintenance systems serve as benchmarks to workers and organizations to compare their goals for decision-making purposes. Unfortunately, the effects of one KPI on the other are least known, restraining decisions on prioritization of KPIs. This article examines and prioritizes the KPIs of the maintenance system in a food processing industry using the novel Taguchi (T) scheme-decision-making trial and evaluation laboratory (DEMATEL) method, Taguchi–Pareto (TP) scheme–DEMATEL method and the DEMATEL method.Design/methodology/approachThe causal association of maintenance process parameters (frequency of failure, downtime, MTTR, MTBF, availability and MTTF) was studied. Besides, the optimized maintenance parameters were infused into the DEMATEL method that translates the optimized values into cause and effect responses and keeping in view the result of analysis. Data collection was done from a food processing plant in Nigeria.FindingsThe results indicated that downtime and availability have the most causal effects on other criteria when DEMATEL and T-DEMATEL methods were respectively applied to the problem. Furthermore, the frequency of failure is mostly affected by other criteria in the key performance indication selection using the two methods. The combined Taguchi scheme and DEMATEL method is appropriate to optimize and establish the causal relationships of factors.Originality/valueHardly any studies have reported the joint optimization and causal relationship of maintenance system parameters. However, the current study achieves this goal using the T-DEMATEL, TP-DEMATEL and DEMATEL methods for the first time. The applied methods effectively ease decisions on prioritization of KPIs for enhancement.

2018 ◽  
Vol 38 (2) ◽  
pp. 314-332 ◽  
Author(s):  
Hendryk Dittfeld ◽  
Kirstin Scholten ◽  
Dirk Pieter Van Donk

Purpose While systems theory explicitly considers interactions as part of a system’s complexity, supply chain complexity (SCC) is mostly conceptualized and measured as a linear summation of several aspects. The purpose of this paper is to challenge the general understanding by explicitly investigating interactions between and across different types (detail and dynamic) and levels (plant, supply chain, environment) of SCC. Design/methodology/approach An exploratory multiple case study methodology is adopted drawing on in-depth semi-structured interviews with respondents from eight manufacturing plants in the food processing industry. Findings On the one hand, it is found that different types add and increase overall SCC. On the other hand, the study also shows the opposite: interactions between detail and dynamic complexity can reduce the overall SCC experienced. Additionally, the findings highlight the specific food processing characteristics such as the variability of quality and quantity of raw materials that underlie interactions between types and levels of SCC. Originality/value This study adds to theory by empirically showing that interactions across and between types and levels do not automatically increase, but might also reduce SCC. As such, the findings contribute new detail to the concept of SCC: aspects of complexity do not necessarily add up linearly. Additionally, this study is one of the first to demonstrate how specific contextual aspects from the food processing industry relate to SCC.


In food processing industry, implementation of supply chain management (SCM) is confronting and complex one by involving different barriers because if affects the performance of organization. If some barriers are noticed, observed and recognized it can be reduced. The objective of the paper is to recognize the barriers by risk assessment. Risk assessment in an industry can help supply chain managers to choose effective decision of the problems. This research proposes a case study conducted on the leading food processing industry in southern region of India. In this paper, to analyze the barriers by using hybrid multi-criteria decision making method like Decision making trial and evaluation laboratory (DEMATEL). Barriers collected from the literature survey were used to evaluate the most influential barriers of supply chain management with the assist of industrial experts. The suggested framework was validated with case industry and the results are compared with the existing literatures and comments from experts. Also, this paper finishes with an assessment of own drawbacks beside the identification of useful managerial implications; it depicts future developments possible in the process of supply chain management in the context of India.


Author(s):  
Wu Kei-Chou

This study investigates the evolution of an admiring food processing plant. Agriculture is once the foundation of Taiwan. Agriculture has a great influence on the food processing industry as well. As a result, as agriculture grows, the food processing industry also develops rapidly. Later on, processed food export becomes important to Taiwan’s economy. Meanwhile, the food processing industry is also influenced by the political and economic environment profoundly. Woo Sun Food Factory Company (Woo Sun) is one of the greatest food processing company in Taiwan. Through the four transformations, Woo Sun upgrades technologies and lowers production costs together with the sales cost. Through studying the case study of Woo Sun, a representative food processing company in the Taiwan food industry, we know that management, developing strategies, and manufacturing technology upgrade are extremely important.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Abdul Muqeet Maaz ◽  
Rais Ahmad ◽  
Arif Abad

PurposeThis study aims to empirically test a comprehensive green supply chain management (GSCM) practices model. This paper incorporates green intellectual capital (GIC) and green supply chain orientation (GSCO) as antecedents to the successful implementation of GSCM practices and organizational performance as its consequence.Design/methodology/approachThis study has been conducted in the Indian food processing industry. The respondents of this study include 139 plant-level managers working in the food processing industry. The managers were contacted using a combination of personal visits, phone and mail. Structural equation modeling was performed using SPSS AMOS v26 to test the hypothesized model.FindingsThe findings of this study reveal that GIC and GSCO positively impact the implementation of GSCM practices. Further, GSCM practices improve economic and operational performance, leading to improved organizational performance.Practical implicationsThis study provides implications for managers suggesting that GSCM practices should be implemented in phases. The first phase must reflect the organization's commitment toward building GIC and the second phase must reflect managerial orientation toward implementation for GSCM practices.Originality/valueThis study adds to the existing literature by linking GIC to GSCM practices; second, this study provides a framework for implementation of GSCM practices in the food processing industry.


2018 ◽  
Vol 41 (8) ◽  
pp. 968-986 ◽  
Author(s):  
Ivana Blažková ◽  
Ondřej Dvouletý

Purpose The purpose of this paper is to analyse to what extent industry, year and firm effects influence the profitability of the firms operating in the Czech food processing industry. The authors’ interest is also to investigate whether the profitability of a few firms (regarded as outliers) is able to influence the relative importance of year, firm and industry effects and to find out the relative importance of these effects for the majority of the firms. Design/methodology/approach The effects are tested using the fixed effects regression models on the unbalanced panel dataset which consists of 10,509 observations for 1,804 enterprises across the ten food sectors over the period 2003-2014. To ensure the consistency of the results, the authors use the three different measures of profitability: return on assets, return on equity and price-cost margin. Findings The results suggest that, on average, industry and year effects have little impact on firm profitability variance, and firm-specific effects dominate when seeking to explain firm profitability variance. To the best of the authors’ knowledge, the obtained results are supported by most of the previously published studies. Practical implications Based on the findings, the authors encourage future researchers to add, as explanatory factors, governmental policies and to test their impact on firm profitability. Originality/value The study helps to fill in the research gap in the field of agribusiness, as, to the best of the authors’ knowledge, no study has been conducted yet in the Czech agribusiness environment. Considering the approach distinguishing the “average” and dominant firms in the sectors, they aim at a methodological contribution to this field of research dealing with firm profitability variation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sukhpreet Kaur ◽  
Gurvinder Kaur

PurposeThe study aims at understanding the impact of individual and bundle of human resource practices (HRPs) on employee competencies. It also compares the impact of the bundle of HRPs with individual HRPs on employee competencies to examine the synergy effect.Design/methodology/approachTo test the hypothesis, a sample of 229 respondents from the Indian food processing industry was taken. This included managerial and nonmanagerial personnel from four large scale food processing firms. The impact was analyzed through several structural equations.FindingsThe individual HRPs are positively related to employee competencies. Recruitment and selection have the least impact, and employee participation has the maximum impact on employee competencies. However, the bundle of HRPs has a positive and stronger impact on employee competencies than when they are studied individually.Practical implicationsThe results of this study bring a wide array of managerial implications for the food processing industry. It recommends the management to adopt proper and well-structured HRPs for the food processing industry.Originality/valueThis is one of the few studies that utilizes resource-based view (RBV) and human capital theory (HCT) for investigating the relationship between HRPs and employee competencies in the Indian context. It attempts to increase the understanding regarding an important strategic HR concept (i.e. bundle of HRPs) on employee competencies.


2017 ◽  
Vol 8 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Daryl Powell ◽  
Sissel Lundeby ◽  
Lukas Chabada ◽  
Heidi Dreyer

Purpose The purpose of this paper is to investigate the application of Lean Six Sigma (LSS) in the continuous process industry, taking an insight into the food processing industry; and to evaluate the impact of LSS on environmental sustainability. The authors present observations and experiences from the application of LSS at a Norwegian dairy producer, with the aim of bringing out pertinent factors and useful insights that help us to understand how LSS can contribute toward greater environmental sustainability in this industry type, something that is so far lacking in the extant literature. Design/methodology/approach The authors adopt a single, longitudinal field study approach as we observe an entire cycle of the VSM-DMAIC (value stream mapping-define, measure, analyze, improve and control) LSS process, which evolved over a six-month period at the dairy. Findings The authors highlight some of the important elements that should be considered when using LSS as a contributor toward greater environmental sustainability in fresh-food supply chains. The authors also present some of the specific outcomes and key success criteria that became apparent to the implementation team following the deployment of the VSM-DMAIC approach. Originality/value The authors demonstrate how LSS can be applied in the food processing industry as a contributor to greater environmental sustainability. The authors also make useful reflections regarding the success criteria that can be used by researchers and practitioners for the effective deployment of such an approach, particularly in the continuous process industry.


2018 ◽  
Vol 29 (5) ◽  
pp. 811-828 ◽  
Author(s):  
Ebenezer Adaku ◽  
Charles Teye Amoatey ◽  
Israel Nornyibey ◽  
Samuel Famiyeh ◽  
Disraeli Asante-Darko

Purpose Speed to the market is becoming a key competitive priority in developing countries’ environments even though lack of technology, poor skilled labour and under-developed infrastructure remain daunting challenges. The purpose of this paper is to examine the causes and relative importance of delay factors in the introduction of food products to the market in the era of time-based competition. Design/methodology/approach The study employed a case study approach in understanding the phenomenon in its natural settings and making sense of it through process and participants observations. Again, a two-stage approach (first, interviews and second, questionnaire) was used in collecting data from the respondents who work in a project team for a large food processing firm. The data was analysed using the relative importance index technique. Findings The results show that the most important causes of delays in new products introduction, especially in the food processing industry, are: high number of projects running concurrently; lack of project management process; lack of consistent project management structure; high workload on project team and delays caused by external laboratory. Originality/value This study sought to identify detailed delay factors in the introduction of new products with respect to the food processing industry and more importantly established the relative importance of these delay factors as a decision support system for managers in the food processing industry.


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