In this paper, we discuss the planning and the realization of last-mile delivery in urban areas. Two main prerequisites are identified in order to increase service quality in attended home delivery. First, empirical traffic data has to be collected and analyzed, and second, this raw data has to be converted into time-dependent data sets for route planning. Thus, an optimization framework is des...

Supply chain logistics planning is a complex process in both military and civilian operations. Poor planning may lead to system instability that might seriously influence the ability of the supply chain to satisfy its customers or might affect a combat mission. Therefore, correct decisions need to be made to optimize the performance of the system. It is important that the right information is t...

A tumor bank (TB) is an ordered collection of neoplastic samples, normal tissue, and/or fluids preserved under optimal conditions, as well as storing patients' clinical information. The objective of this article is to outline the planning and logistics necessary for the functioning of the Instituto Nacional de Cancerología (INCan) TB in Mexico City. For the planning and logistics of a TB, sever...

Big data and its applications have increasingly received interest by both scholars and practitioners. However, there is still missing evidence regarding how big data is understood as well as its applications in supply chain management (SCM). Empirical contributions are especially limited. This study seeks to address this gap through an explorative Delphi study to understand the terminology of b...

RoboCup is particularly well-known for its soccer leagues, but there are an increasing number of application leagues. The newest one is the Logistics League where groups of robots take on the task of in-factory production logistics. It has two unique aspects: a game environment which itself acts as an agent and a focus on planning and scheduling in robotics. We propose a simulation based on Gaz...

The dismantling of disused industrial facilities such as nuclear power plants or refineries is an enormous challenge for the planning and control of the logistic processes. Existing control models do not meet the requirements for a proper dismantling of industrial plants. Therefore, the paper presents an approach for the control of dismantling and post-processing processes (e.g. decontamination...

This paper describes ILP-PLAN, a framework for solving AI planning problems represented as integer linear programs. ILP-PLAN extends the planning as satisfiability framework to handle plans with resources, action costs, and complex objective functions. We show that challenging planning problems can be effectively solved using both traditional branch-and-bound integer programming solvers and eff...

This paper describes ILP-PLAN, a framework for solving AI planning problems represented as integer linear programs. ILP-PLAN extends the planning as satisfiability framework to handle plans with resources, action costs, and complex objective functions. We show that challenging planning problems can be effectively solved using both traditional branchand-bound IP solvers and efficient new integer...

Mutually connected business processes have both logistics process and planning and control components. The Little's theorem describes that for a queuing system in stationary situation, average demand rate multiplied by average number of inventory is average lead time. This paper shows what role a planning and control component plays in forming such a dynamic property of a business process as a ...