Ozgur Kabadurmus

Clemson University | CU · Department of Industrial Engineering

Vehicle Routing Problem (VRP) is one of the most studied combinatorial optimization problems with many variants and extensions. This study introduces a novel VRP variant: Green Vehicle Routing Problem with Multi-Depot, Multi-Tour, Heterogeneous Fleet and Split Deliveries. In this problem, different vehicle types (heterogeneous fleet) with limited f...

Megatrends such as urbanization, digitalization, and decarbonization have created the necessity for new and creative approaches to the urban transportation system. As a solution to the problems of the increasingly digitalized urban transportation environment, “Mobility-as-a-Service” (MaaS) was proposed as a new sustainable transportation concept in...

The unexpected emergence of the COVID-19 pandemic has changed how grocery shopping is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in-store shopping by providing “no-touch” smart packaging solutions for agri-food products. The benefit of smart packaging is to inform consumers about the freshness level of a pa...

Food loss and waste (FLW) is a growing global problem throughout the world. The rapid increase in food waste and deficiencies in treatment processes have led to greater harm to the environment. A circular food supply chain (FSC) is now an essential means of encouraging circular economy. Proper food waste treatment and recycling operations can not o...

In this study, a bi-objective Green Vehicle Routing Problem (GVRP) is presented as an extension of the well-known Vehicle Routing Problem (VRP). Green Vehicle Routing Problem aims to improve routing decisions of companies using Alternative Fuel Vehicles to reduce carbon emissions. Due to the limited number of Alternative Fuel Stations, alternative...

Forecasting the number of damaged containers is crucial for a maritime company to effectively plan future port operations. The purpose of this study is to forecast damaged container entries and exits. In this paper, we worked with a global logistics company in Turkey. Comparisons between ports were made using the company’s internal port operations...

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific market...

The container demands in ports significantly fluctuate over time and accurate container demand forecasting is essential for logistics companies because they can make their future business plans accordingly. In maritime transportation, container slot agreements are generally made two times in a year. A slot is one Twenty-Foot Equivalent Unit (TEU) s...

The multi-dimensional knapsack problem (MDKP) is a well-known NP-hard problem in combinatorial optimization. As it has various real-life applications, the MDKP has been intensively studied in the literature. On the other hand, far too little attention has been paid to the multi-objective version of the MDKP. In this chapter, we consider the bi-obje...

Emerging issues and new challenges of globalization have forced companies to design their supply chains for not only minimizing cost but also considering other factors. Supply chains are exposed to new environmental regulations to reduce their carbon emissions and compelled to consider other overlooked factors, such as risk. In this paper, we consi...

Uluslararası lojistik sektöründe yoğun bir rekabetin yaşanması, ulusal ve uluslararası faaliyet gösteren lojistik şirketlerini insan kaynaklarını optimal şekilde yönetme stratejisine yönlendirmektedir. Bu bağlamda, lojistik şirketlerinde nakit akış döngüsünde önemli rollere sahip olan satış personellerinin yetkinliklerinin belirlenmesi, şirketlerde...

Purpose The purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology. Design/methodology/approach In this study, two different machine learning algorithms, Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount o...

With the industrialization of the sports, stadiums started to mean more than a venue for playing games. Therefore, choosing the best location of a stadium is an important problem for the sports clubs. In this paper, a two-step hierarchical multi-criteria decision-making model has been developed to evaluate stadium locations. In the first step, Anal...

One of the most costly operations in logistics is the distribution of goods. Inefficient vehicle routes increase distribution costs, especially for companies performing distribution operations daily. Vehicle Routing Problem (VRP) addresses this inefficiency and optimizes the distribution routes of vehicles. In this study, we developed a decision su...

In global logistics, the trade imbalances between the exporting and importing countries (and regions) cause the empty container repositioning problem. While export dominant countries face the difficulty to find empty containers to be loaded and shipped, import dominant countries have a surplus of empty containers and try to get rid of them because...

Sustainability is one of the most important topics that should be considered by every sector because it helps to reduce the harmful environmental effects of operations. Supply chain operations have significant impacts on environmental, social and economic issues, and therefore, sustainable supply chains have become an important issue for the compan...

Purpose The purpose of this paper is to contribute to the lean manufacturing literature by providing a roadmap for pull production control system (PCS) implementation. Design/methodology/approach Axiomatic Design (AD) methodology is used to develop the proposed pull PCS transformation roadmap. Findings The proposed design methodology is validated...

Sports have evolved into a more professional and industrial sector in the last decades and the usage of analytical decision making methods in sports clubs has gained importance than ever. Decision makers in sports clubs have to make many decisions about their logistics activities. In sports clubs, decision making of transportation of a team to the...

Distribution is one of the major sources of carbon emissions and this issue has been addressed by Green Vehicle Routing Problem (GVRP). This problem aims to fulfill the demand of a set of customers using a homogeneous fleet of Alternative Fuel Vehicles (AFV) originating from a single depot. The problem also includes a set of Alternative Fuel Statio...

Energy consumption in manufacturing systems is increasingly of interest due to the rising environmental awareness in society as well as the necessity of being cost effective in global competitive environment. Companies have to take measures to decrease their unnecessary energy consumption while maintaining their throughput. In this context, lean ma...

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific market...

In telecommunication network design problems, survivability and reliability are often used to evaluate quality of service while usually ignoring link capacity. In this paper, a new metric that combines network reliability with network resilience is presented to measure reliability/survivability effectively for capacitated networks. Capacitated resi...

The network design problem is a well known optimization problem with applications in telecommunication, infrastructure designs and military operations. This paper devises the first formulation and solution methodology for the multi-commodity k-splittable two-edge disjoint survivable network design problem with capacitated edges and relays. This pro...

Third-party logistics providers (3PL) store and transport large volumes of different goods and deal with a number of logistics services clients simultaneously. Due to the increasing demand for automatic identification, 3PL providers turned to RFID to help them improve total product traceability and increase accuracy. However, the implementation of...

RFID (Radio Frequency Identification) has been taking great attention of industry for its various advantages. This technology enables to monitor and track items in production facilities, warehouse operations and distribution; however, RFID system performance is dramatically affected by the operational factors (controllable factors affecting the sys...

The quality of hot mix asphalt (HMA) is directly related to the quality of the input aggregates and the control of the production process. Many factors such as aggregate gradation and moisture level affect the quality of hot mix asphalt. As state agencies dictate certain standards on quality of the product, some quality assurance techniques have be...

RFID systems have been gaining more and more popularity in areas such as supply chain management and logistics. As the development of RFID systems increases, the performance evaluation of these systems becomes more important. In this study, we propose an UHF bulk reading method for cargo operations considering factors such as antenna position, read...

RFID (radio frequency identification) has been taking great attention of industry for its various advantages. This technology enables to monitor and track items in production facilities, warehouse operations and distribution. However, RFID system performance is dramatically affected from the operational settings of the system. In particular, identi...

Contrary to intense research on traditional pull system both theoretically and practically, literature on detailed analyses of hybrid pull systems, specifically Paired Overlapping Cards with Authorization (POLCA) strategy, is very rare. This study illustrates an economic analysis of POLCA system by means of simulation on a real-life manufacturing s...

In today's manufacturing world, customers dictate products to be more customized or larger in variety. Traditional push production system cannot respond these customer requirements with desired effectiveness. Pure pull systems are not an alternative of such environments with high variation of product types and demand variability. Multi- Product and...

The design and analysis of Toyota production systems (namely Lean production) has received great attention of both academia and industry for over 20 years. As one of the most important elements of the lean production, the traditional Kanban production control system has been widely investigated. Kanban systems are mainly suitable for certain repeti...