Goal: This research aims to examine the trade-off behaviour between productivity, quality and maintenance performance and evaluate the efficiency of the framework integrated to a time variability in operational management. Design / Methodology / Approach: The proposed framework integrates a stochastic analysis of process arid TVM to manage process variability and analyse the trade-off behaviour between quality, productivity, and maintenance efficiency. The framework generates a control chart for each workstation and analyses the operator's time to execute an assembly process for six workstations. The processes are characterised and evaluated via stochastic simulation, resulting in a trade-off analysis with a multicriteria approach. Results: A relational graphic of performance dimensions shows that productivity and maintenance performance have a high dependency on time variability management, whereas quality has a minor impact over trade-off decisions. The proposed framework has a huge significance to operational management which allow to apply complex models to time variability analysis and organisation performance. Limitations of the investigation: The trade-off analysis in this study is limited to a constant tradeoff model to validate the framework. Practical implications: This framework, used in association with traditional management philosophies, is a powerful tool that permits managers to develop a trade-off analysis and make decisions on workstations. Thus, a research field that correlates time variability with performance dimensions may be validated by this framework. Originality / Value: A framework that allows the use of MCDM to analyse the trade-off behaviour on organization performance and a trade-off analysis between performance dimensions and time variability management in operational performance.

Recently, the supply chain in the pharmaceutical sector, which is important economically to the healthcare industry worldwide, has received special attention owing to different factors involved in the distribution of drugs. Furthermore, it has an important role in global sustainability as organizations base their efficient decisions on the results from performance analysis of economic indicators. Thus, the sustainability of operations decisions must be analyzed to achieve better decision efficiency. This study integrates analytical methods of operational activities evaluation for a drug distribution center in a pharmaceutical logistic organization to analyze the sustainability of its operations. Furthermore, a proposed framework incorporates time variability management (TVM) decisions into a trade-off analysis of triple bottom-line (TBL) sustainability dimensions and operations managers’ decisions. The framework is a real-time data-gathering decision system that evaluates processes using stochastic simulation and process efficacity based on control-chart analysis and analyzes the trade-off performance. Managers’ decisions on time variability is modeled using an Analytical Hierarchy Process. The results of the trade-off analysis of sustainability and TVM indicate that economic dimensions have a higher impact on an organization than social and environmental dimensions. Managers assume that social and environmental impacts are less important to organizations’ performance. Environmental and social dimensions have different impacts on time variability decisions, where managers assume that operations’ time reduction has more impact on the social dimension, while operations’ time increase has a higher environmental impact. Thus, the framework is an effective tool for analyzing the sustainability of operations decisions, which is associated with variability analysis.

A avaliação dos impactos de sustentabilidade dos modelos de negócio se tornou essencial para a transição das empresas para uma economia mais sustentável e circular. Modelos multicritério tem sido amplamente utilizados como uma abordagem eficaz para avaliar e classificar o desempenho de sustentabilidade de empresas em diversos setores. Este artigo realiza uma análise comparativa de métodos multicritério para avaliar o desempenho de sustentabilidade de uma empresa de petróleo e gás. O estudo aborda a crescente importância da sustentabilidade corporativa nesse setor, empregando individualmente três métodos distintos, VIKOR, PROMETHEE e TOPSIS na análise da sustentabilidade organizacional. A comparação dos métodos forneceu insights valiosos sobre seus respectivos pontos fortes e fracos ao abordar cenários complexos de tomada de decisão. Embora produzam resultados similares o PROMETHEE é mais relevante quando se lida com problemas complexos que envolvem uma gama mais ampla de critérios, especialmente quando há múltiplas percepções e julgamentos humanos envolvidos e quando as decisões são de longo prazo com impactos duradouros. Pesquisas futuras podem explorar metodologias com diferentes abordagens, aplicadas a outros tipos de organizações e/ou localidades, a fim de avaliar a sustentabilidade organizacional. Além disso, experimentar a integração de modelos multiatributo com modelos de otimização matemática e modelos de previsão é uma opção viável para avaliar, otimizar e prever a sustentabilidade.