Hybrid Analytical Hierarchy Process and Continuous Improvement Methodology to Enhance Sustainability: A Case Study on a Beverages Industry

Abstract

Aims of sustainability in the industries are to create manufactured products, which use processes and practices that maximize profits, reduce waste, minimize resource use, minimize negative economic and environmental impacts, and are safe for consumers and employees. These aims can achieve through continuous improvement methodologies (CI). Therefore, CI have emerged as a major part of the sustainability answer. The purpose of this research is to investigate the application of hybrid methodology consist of analytical hierarchy process (AHP) and continuous improvement methodology in the beverages industry, and to evaluate the impact of this methodology on sustainability. The proposed methodology framework consists of five steps (Identity, Measure, Analyze, Prioritize, and Implement). This research highlights some of the important elements that should be considered when using AHP and CI as a contributor toward greater environmental sustainability in the beverages industry. The results show that the main causes of waste relate to machines, materials and others cause. This paper present observations and experiences from the application of AHP and CI at a beverages industry, with the aim of bringing out pertinent factors and useful insights that help us to understand how AHP and CI can contribute toward greater sustainability in this industry type.

Enhancing the Organizational Sustainability through Innovation and Continuous Improvement in the Context of Pakistan: Moderating Effect of Industry 4.0

“…Therefore the first hypothesis of the study has been proved true and this relationship has also been previously confirmed from the results of research done by (Asadi et al, 2020;Beyhan Yasar et al, 2019;Fernández at el., 2018). Moreover, continuous improvement, which consists of lean, management supply, process management, and supplier quality plays a significant mediating role which demonstrated the second hypothesis of the study, and finding proved this as true, so, this result is also in line with the previous findings (Beyhan Yasar et al, 2019;Ghazali & Saad, 2020;Ibrahim et al, 2019). Industry 4.0 (big data, interoperability, and smart factory) has also proved to have a strong moderating influence on these relationships of organizational sustainability which provide the result about third hypothesis of the study and decision is accepted.…”

Thermoplastic Polymer Selection for Optimal Thermal Efficiency of Composite Syrup Vessel

“…Therefore, six thermoplastics to reinforce natural fiber were selected for this study, namely, (PP=Polypropylene), (LDPE=Low Density Polyethylene), (HDPE=High Density Polyethylene), (PS=Polystyrene), (Nylon 6), and (Nylon 6, 6). The materials specifications shown in table (1).…”

“…The final level was the alternative comprised, therefore the best thermoplastic according to hierarchy rank [6]. Alternatives are shown in table (1). The AHP method consists of the following steps [16]:…”

“…1) Pairwise comparison matrix was utilized for comparison purpose of the criteria set based on their relative importance weight as shown in equation (1).…”

“…The multi-objective exploitation for selecting appropriate alternatives to describe composites became very essential. This technique accommodates many forms of applications and accurately picks several alternatives [1]. The unsuitable choice of composites could lead to major flows in final products.…”