Quick-response decision-making in the food processing industry

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.

Download Full-text

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

International Journal of Intelligent Computing and Cybernetics ◽

10.1108/ijicc-12-2020-0209 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Victor Chidiebere Maduekwe ◽

Sunday Ayoola Oke

Keyword(s):

Decision Making ◽

Performance Indicators ◽

Food Processing ◽

Analysis Data ◽

Processing Plant ◽

Food Processing Industry ◽

Processing Industry ◽

Content Type ◽

Maintenance System ◽

Key Performance Indication

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.

Download Full-text