Search results

Introduction: The idea of sustainability has become increasingly popular across many industries. To meet the demands of the present without compromising the capacity of future generations to meet their requirements, sustainable organisations prioritise integrating environmental, social, and economic aspects into their operations.

Purpose: To analyse the inter-relationship between sustainable organisations, high-potential employees (HPEs), and blended learning (BL) effectiveness. Organisations can gain a competitive edge, spur innovation, and contribute to a more sustainable and inclusive future by incorporating sustainability into their operations and offering sustainable workspaces.

Design/methodology/approach: This research approach offers a thorough understanding of the connections between sustainable organisations, HPEs, and workspaces by combining a literature review of 77 research papers, case studies, and surveys.

Findings: The dedication to sustainability draws high-potential workers and environmentally aware customers who favour supporting socially conscientious businesses.

Practical implications: The study provides valuable implications and suggestions for businesses looking to improve their sustainability and recruit top talent. These proposals should include the techniques for integrating sustainability into organisational culture, employee engagement programmes, talent recruiting and retention tactics, and designing environmentally friendly workspaces.

Originality/value: This research approach offers a thorough understanding of the connections between sustainable organisations, HPEs, and workspaces by combining literature reviews, case studies, surveys, interviews, and data analysis.

The purpose of this study is to formulate a new class of vehicle routing problem with an objective to minimise the total cost of raw material collection and derive a new approach to solve optimization problems. This study can help to select the optimum number of suppliers based on cost.

To model the raw material vehicle routing problem, a mixed integer linear programming (MILP) problem is formulated. An interesting phenomenon added to the proposed problem is that there is no compulsion to visit all suppliers. To guarantee the demand of semiconductor industry, all visited suppliers should reach a given raw material capacity requirement. To solve the proposed model, the authors developed a novel hybrid approach that is a combination of block and edge recombination approaches. To avoid bias, the authors compare the results of the proposed methodology with other known approaches, such as genetic algorithms (GAs) and ant colony optimisation (ACO).

The findings indicate that the proposed model can be useful in industries, where multiple suppliers are used. The proposed hybrid approach provides a better sequence of suppliers compared to other heuristic techniques.

The data used in the proposed model is generated based on previous literature. The problem derives from the assumption that semiconductor industries use a variety of raw materials.

This study provides a new model and approach that can help practitioners and policymakers select suppliers based on their logistics costs.

This study provides two important contributions in the context of the supply chain. First, it provides a new variant of the vehicle routing problem in consideration of raw material collection; and second, it provides a new approach to solving optimisation problems.