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Publications

Publications by SEM

2022

Supply Chain Resiliency in the Pharmaceutical Industry – a Simulation-Based Approach

Authors
da Silva, ACT; de Sousa, JP; Marques, CM;

Publication
Proceedings of the International Conference on Industrial Engineering and Operations Management

Abstract

2022

Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach

Authors
Pereira, DF; Oliveira, JF; Carravilla, MA;

Publication
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Abstract
With the advent of mass customization and product proliferation, the appearance of hybrid Make-toStock(MTS)/Make-to-Order(MTO) policies arise as a strategy to cope with high product variety maintaining satisfactory lead times. In companies operating under this reality, Sales and Operations Planning (S&OP) practices must be adapted accordingly during the coordinated planning of procurement, production, logistics, and sales activities. This paper proposes a novel S&OP decision-making framework for a flow shop/batch company that produces standard products under an MTS strategy and customized products under an MTO strategy. First, a multi-objective mixed-integer programming model is formulated to characterize the problem. Then, a matrix containing the different strategies a firm in this context may adopt is proposed. This rationale provides a business-oriented approach towards the analysis of different plans and helps to frame the different Pareto-optimal solutions given the priority on MTS or MTO segments and the management positioning regarding cost minimization or service level orientation. The research is based on a real case faced by an electric cable manufacturer. The computational experiments demonstrate the applicability of the proposed methodology. Our approach brings a practical, supply chain-oriented, and mid-term perspective on the study of operations planning policies in MTS/MTO contexts.

2022

Data-Driven Production Planning Approach Based on Suppliers and Subcontractors Analysis: The Case of the Footwear Cluster

Authors
Ferreira, R; Sousa, C; Carneiro, D; Cardeiro, C;

Publication
CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2022, Hybrid Event / Lisbon, Portugal, November 9-11, 2022.

Abstract

2022

CRESustain: Approach to Include Sustainability and Creativity in Requirements Engineering

Authors
Silveira, C; Santos, V; Reis, L; Mamede, H;

Publication
Journal of Engineering Research and Sciences

Abstract

2022

Performance assessment of water services in Brazilian municipalities: An integrated view of efficiency and access

Authors
Tourinho, M; Santos, PR; Pinto, FT; Camanho, AS;

Publication
SOCIO-ECONOMIC PLANNING SCIENCES

Abstract
This study proposes a benchmarking approach to assess water supply and sanitation services' performance in Brazilian municipalities from an integrated perspective of efficiency and access. The regional differences and the impact of the governance models adopted by different municipalities (local public entities, regional public entities, and private entities) on efficiency levels are also explored. The results revealed significant heterogeneity in the efficiency levels of Brazilian municipalities, as the average efficiency score is relatively low (45%). The Southeast and Center-west regions stand out both in terms of efficiency and access dimensions. There is evidence that municipalities with services provided by local public entities have higher efficiency than those with regional providers. On the other hand, efficiency differences between municipalities with public and private providers are statistically significant. Finally, regulatory strategies are suggested based on the outcome of the integrated analysis.

2022

Detection of vehicle-based operations from geolocation data

Authors
Tavares, J; Ribeiro, J; Fontes, T;

Publication
Transportation Research Procedia

Abstract
Geolocation data identifies the geographic location of people or objects, which may unveil the performance of some activity or operation. A good example is, if a vehicle is in a gas station then one may assume that the vehicle is being refuelled. This work aims to obtain vehicle-based operations from geolocation data by analysing the stationary states of vehicles, which may identify some motionless event (e.g. bus line stops and traffic incidents). Ultimately, these operations may be analysed with Process Mining techniques in order to discover the most significant ones and extract process related information. In this work, we studied the application of diverse approaches for detecting vehicle-based operations and identified different operations related to the bus services. The operations were also characterized according the distribution of their events, allowing to identify specific operations characteristics. The public transport network of Rio de Janeiro is used as a case study, which is supported by a real-time data stream of buses geolocations.

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