Green transportation has emerged as an efficient way to promote a sustainable supply chain. Transportation activities have significant impact on the whole supply chain at any decision levels. At an operational level, vehicle routing decisions are one of the most critical determinants of the release of transportation emissions. Therefore, this study develops a mathematical model, with an aim to construct routes that simultaneously minimize total cost and total CO2emissions from the transportation activities of a case study located in Can Tho City, Vietnam. A multiple-objective model with the consideration of different vehicle loading capacity, and time windows is then solved using a Weighted Tchebycheff method. Results show that route selection has a positive contribution toward a better balance between economic and environmental objectives.
Waiting lines or queues are common in life, we often encounter a lot of queueing systems to wait for service regarding both crowd-based and random. Indeed, queing system is ubiquitous from customers queueing to pay at the supermarket, customers coming to make transactions at banks or customers waiting for medical examination at the hospital, etc. Queueing theory is the mathematical study of waiting for lines or queues and is one of the most commonly used mathematical tools for the performance evaluation of systems. Applications of queueing theory are increasing in various fields of life for example the banking sector, healthcare, traffic control, and computer science. This paper reviews the contributions and applications of queueing theory in parking lots. Applications of queueing theory in modeling parking lots processes are reviewed and categorized.
Research purpose:This paper reviews the contributions and applications of queueing theory in parking lots. Applications of queueing theory in modeling parking lots processes are reviewed and categorized. Our purpose was to identify the leading areas of parking problems as modeled by queueing theory.
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