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The purpose of this paper is to present an integrated technical and economic model to evaluate the reusability of products or components.

Life cycle assessment (LCA) methodology is applied to obtain the product’s environmental performance. Monte Carlo simulation is utilized for enabling sustainable product design.

The results show that the model is capable of assessing the potential reusability of used products, while the usage of simulation significantly increases the effectiveness of the model in addressing uncertainties.

The case study has been conducted in a single manufacturing organization. The implications derived from the study are found to be practical and useful to the organization.

The paper reports a case study carried out for an Indian rotary switches manufacturing organization. Hence, the model is practically feasible.

The article presents a study that investigates LCA and simulation as enablers of sustainable product design. Hence, the contributions of this article are original and valuable.

The Iron Triangle, also called the Triple Constraint, is a central concept to project management research and practice, representing the relationship between key performance criteria. However, there is disagreement about which criteria should be represented on the vertices of this triangle. The purpose of this paper is to explore which concepts are part of the Iron Triangle, and how these concepts have changed over time.

This paper explores 45 years of project management research, drawing on a database of 109,804 records from 1970 to 2015. Three corpora were constructed, representing the project management and Time, Cost, and Quality Management literature. Time and Cost are consistently identified as part of the Iron Triangle. However, the status of quality is contested. Key concepts in the project management literature were explored using scientometric research techniques, to understand the relationship between these concepts.

Significant links were found between Time, Cost, and Quality, verifying these concepts as the vertices on the Iron Triangle. These links were significantly stronger than links to alternatives, such as Scope, Performance, or Requirements. Other concepts that are core to the Iron Triangle were also identified, and how these have changed over time.

This research develops the understanding of a key project management concept by clarifying which concepts are part of the Iron Triangle, based on evidence of how the concept is used in research. This paper also reveals the context in which this concept is used, and how this has changed over the last 45 years.

This paper aims to develop an algorithm to pretest an industrial portfolio on a new scale. Portfolios include complex and uncertain projects at the front-end phase. The study, therefore, proposes a procedure that helps decision-makers to handle various complex projects and defines a common scale applicable to various kinds of industrial projects.

Decision-makers can employ the preference algorithm to reach a common understanding. To this end, the current paper posits the organization of criteria in various project sets. A sexagesimal scale is developed based on project complexity and its ability to achieve broad impact, both these factors being gauged on a five-point scale of user-friendly numberings.

The proposed algorithm shows the equivalence of industrial projects in different fields. Also, the algorithm articulates the status in terms of uncertainty, complexity, risk, and value of projects. The connections between decision-makers and criteria operate on the basis of the foreseen complexity, risk, and value. It can be said that this study exemplifies and visualizes the portfolio and criteria relationship.

The procedure covers contingency exercises at the front-end phase of a portfolio and supports decisions. However, updated information can change support positions.

The paper presents original scoring guidance for portfolio complexity on a new scale. The scaling and scoring are adjustable and calibrated using the proposed sexagesimal system. It presents an original classification of project risk and value. The main contribution is the presented algorithm which can be used to pretest industrial portfolios composed of projects that vary in both size and context.

This study aims to investigate the proposed relationships concerning the supply chain collaboration (SCC) practices and knowledge sharing with organizational performance in the pharmaceutical industry of a developing country.

In total, 203 executives working in various pharmaceutical companies of Bangladesh participated in the study. Factor analysis and structural equation modeling were applied to test the proposed research hypotheses.

This study reveals that both knowledge sharing and collaboration practices in the supply chain significantly influence customer satisfaction leading to business competitiveness as evidenced in the superior product quality and new product innovation in this knowledge-intensive industry. It further reveals a statistically significant correlation between SCC and knowledge sharing practices.

This study is performed only on the manufacturers in the pharmaceutical industry from the perspective of a developing country. Future studies could cover other entities operating in a pharmaceutical supply chain.

The findings of the study have significant practical implications due to the fact that the aspect of knowledge sharing exerts influence on customer satisfaction that holds the key to competitive priorities. The managers need to address this issue seriously.

Few studies have been performed vis-a-vis the impact of both SCC and knowledge sharing on the organizational outcomes in the pharmaceutical industry from the perspective of a developing country.