This paper investigates the state of Green Manufacturing and Environmental Sustainability Manufacturing in Kosovo's SMEs and identifies barriers to implementation within the Small and Medium Enterprises of Kosovo's Manufacturing Industry. The study u...

Purpose: To enhance enterprise efficiency, this study examines the pivotal role of operations management in optimizing the use of materials, technology, equipment, and personnel, especially within the transformative framework of Industry 4.0.Design/methodology/approach: This article investigates operational preparation in the context of Industry 4.0. Through questionnaires and interviews with stakeholders, problems related to operational preparation were identified. To address these problems, a launching model was developed for production systems. The model considers several parameters important for the production process, including business goals, customer needs, and environmental conditions that impact enterprise performance and profit.Findings: The model determines the importance of jobs to be performed in a certain order to optimize production sequence. The proposed parameters are included in a mathematical-algorithmic launching model based on categorical levels related to the production process, such as profit, delivery times, processing times, total number of technological operations, product types, materials, required quality, product complexity, and resource use. The model was developed based on observations and investigations conducted in Kosovo's enterprises on operations research, and it has the potential to significantly improve production efficiency and profitability in the Industry 4.0 era.Practical implications: The findings of this study have practical implications for operations management within the Industry 4.0 framework, proposing a launching model designed to optimize production processes and enhance efficiency.Originality/value: The originality and value of this research lie in the development of a mathematical-algorithmic launching model that addresses operational preparation in the Industry 4.0 context, taking into account various crucial parameters.

This paper discusses two different thermo-technical systems for heating and cooling the three-story office building under consideration. Data were collected on natural gas energy consumption over three-year period. The measured data on energy consump...

Complex socio-technical decisions require explicit links between environmental analysis, strategic diagnosis and quantitative assessment. This study examines a sequential decision-support procedure using political, economic, social and technological (PEST) analysis, strengths, weaknesses, opportunities and threats (SWOT) analysis, the TOWS matrix and the Analytic Hierarchy Process (AHP). The approach is demonstrated by comparing five infantry fighting vehicles across five economic and operational criteria. PEST and SWOT inform the decision context and criteria but are not mathematically converted into AHP weights; the AHP pairwise comparisons were performed by the authors. Recalculation from the reported pairwise matrices yields a global priority of 0.318 for Bradley ODS. Controlled sensitivity analysis retains this alternative in first place in all 30 tested single-criterion perturbations, although some lower positions change. A supplementary Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comparison likewise ranks Bradley ODS first but does not reproduce the entire AHP ordering. This study offers a reproducible case-based evaluation of an established combination of methods rather than a new decision algorithm; generalisation and independence of judgments remain limitations.