scholarly journals An Evaluation of Holistic Sustainability Assessment Framework for Palm Oil Production in Malaysia

2015 ◽  
Vol 7 (12) ◽  
pp. 16561-16587 ◽  
Author(s):  
Chye Lim ◽  
Wahidul Biswas
Author(s):  
Muhammad Haikal Sitepu ◽  
Abdul Rahim Matondang ◽  
Meilita Tryana Sembiring

Procedia CIRP ◽  
2015 ◽  
Vol 26 ◽  
pp. 13-18 ◽  
Author(s):  
Chye Ing Lim ◽  
Wahidul Biswas ◽  
Yudi Samyudia

2021 ◽  
Vol 13 (4) ◽  
pp. 1607
Author(s):  
Najat Omran ◽  
Amir Hamzah Sharaai ◽  
Ahmad Hariza Hashim

The Malaysian palm oil is an important source of social development and economic growth in the country. Nevertheless, it has been accused of conducting unsustainable practices that may affect the sustainability of this industry. Thus, this study aims to identify the level of sustainability of crude palm oil (CPO) production. Environmental impacts were assessed using the International Organization for Standardization (ISO) standardized life cycle assessment (LCA). Economic impacts were evaluated using life cycle costing (LCC). Social impact assessment was identified based on the UNEP/SETAC Guidelines for social life cycle assessment (S-LCA). Life cycle sustainability assessment (LCSA) was used to combine three methods: LCA, life cycle costing (LCC) and S-LCA using the scoring system method. Finally, a presentation technique was developed to visualize the LCSA results. The results show that crude palm oil production requires more improvement to be a sustainable product. The study feasibly enables the decision-makers to understand the significant environmental, economic, and social hotspots during the crude palm oil production process in order to promote palm oil production.


Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.


2021 ◽  
Vol 13 (16) ◽  
pp. 8719
Author(s):  
Laura Tupenaite ◽  
Viktorija Zilenaite ◽  
Loreta Kanapeckiene ◽  
Tomas Gecys ◽  
Ineta Geipele

As woodworking and construction technologies improve, the construction of multi-storey timber buildings is gaining popularity worldwide. There is a need to look at the design of existing buildings and assess their sustainability. The aim of the present study is to assess the sustainability of modern high-rise timber buildings using multi-criteria assessment methods. The paper presents a hierarchical system of sustainability indicators and an assessment framework, developed by the authors. Based on this framework, the tallest timber buildings in different countries, i.e., Mjøstårnet in Norway, Brock Commons in Canada, Treet in Norway, Forte in Australia, Strandparken in Sweden and Stadthaus in UK, were compared across the three dimensions of sustainability (environmental, economic/technological, and social). Research has revealed that none of the buildings is leading in all dimensions of sustainability. However, each building is unique and has its own strengths. Overall multi-criteria assessment of the buildings revealed that the Brock Commons building in Canada has received the highest rank in all dimensions of sustainability. The paper contributes to the theory and practice of sustainability assessment and extends the knowledge about high-rise timber buildings. The proposed sustainability assessment framework can be used by both academics and practitioners for assessment of high-rise timber buildings.


Author(s):  
Alok Choudhary ◽  
Arijit De ◽  
Karim Ahmed ◽  
Ravi Shankar

AbstractThe increasing importance of sustainability has put pressure on organisations to assess their supply chain sustainability performance, which requires a holistic set of key performance indicators (KPIs) related to strategic, tactical and operational decision making of firms. This paper presents a comprehensive set of KPIs for sustainable supply chain management using a mixed method approach including analysing data from the literature survey, content analysis of sustainability reports of manufacturing firms and expert interviews. A 3-level hierarchical model is developed by classifying the identified KPIs into key sustainability dimensions as well as key supply chain decision-making areas including strategic, tactical and operational. A novel multi-attribute decision-making (MADM) based sustainability assessment framework is proposed. The proposed framework integrates value focussed thinking (VFT), intuitionistic fuzzy (IF) Analytic Hierarchy Process (AHP) and IF Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. The novelty of the research lies in (1) using a rigorous mixed method approach for KPIs identification and industrial validation (2) the development of a novel integrated intuitionistic sustainability assessment framework for decision making and (3) the innovative application of the proposed framework and associated methodologies in the context not explored before. The practical data on the performance ratings of various KPIs were obtained from the experts and a novel intuitionistic fuzzy TOPSIS was applied to benchmark the organisations for their sustainability performance. Furthermore, the case study shows the applicability of the proposed framework to evaluate and identify the problem areas of the organisations and yield guidance on KPIs by recognising the most significant areas requiring improvement. This research contributes to the practical implication by providing an innovative sustainability assessment framework for supply chain managers to evaluate and manage sustainability performance by making informed decisions related to KPIs.


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