Andreas Nitsche

Graduation:
M.Sc.
Function:
Project engineer
Practice Areas:
Factory planning, production planning & control
Phone:
+49 (0)511 279 76-440
E-Mail:
nitsche@iph-hannover.de
vCard:
vCard
Xing:
https://www.xing.com/profile/Andreas_Nitsche19/cv

Publications

The article addresses a method for generating project schedules for factory relocations based on a planned layout concept in reorganisation projects. The layout is modelled in a cell grid with cells of uniform edge length. The factory objects are arranged in this grid for both the actual and the target layout state. Further input parameters relate to the required time and personnel resources according to several operations. A two-stage optimisation algorithm is presented, which first checks a given solution for layout feasibility and then generates and solves a project scheduling problem on this basis. Accordingly, elements of the facility layout problem are integrated into a resource constrained project scheduling problem. The process steps of generating and evaluating of the project schedule are further embedded in a genetic algorithm, which successively improves the solution. The project schedules for relocation are evaluated through a combination of the resulting project duration and the downtimes of all factory objects. The aim of the optimisation is to minimise both objective values considering a weighting factor. The article concludes by validating the method using a practical example.

factory planning, relocation planning, reorganisation, project scheduling, project planning

The resilience of a supplier is a fundamental factor in the design of supply chains. In supplier selection, resilience is not yet fully taken into account in the evaluation process. As part of a research project, the aim is to create a basis for this and thus integrate resilience as an evaluation criterion into the supplier selection process. The article aims to create an understanding of the various success factors of resilient supply chains.

Resilience, sustainability, supply chain management, risk management

Supply chain resilience is massively gaining importance for manufacturing companies in times of severe disruption due to crises. Supplier selection is a key aspect of building a resilient supply chain. Currently, however, there is no holistic method for supplier selection that takes resilience into account. This paper therefore presents a research project that aims to develop an assessment measure for resilience in the context of supplier selection. The aim is to consider the existing resilience from the supplier company’s perspective and the required resilience from the selecting company's perspective.

Logistics, Supplier Selection, Resilience, Supply Chain, Supply Chain Management

The realization of a planned layout concept represents a complex subtask within factory planning. In particular, the temporal arrangement of the necessary relocation steps, taking into account existing restrictions, is usually carried out manually according to the current state of the art. Therefore, an easy-to-use method for planning a factory move for reorganization projects was developed in a research project, which can be applied by companies in a practical context.

factory planning, removal planning, project scheduling, optimization, operations research

The realization of reorganization projects represents a complex and independent planning task within the framework of factory layout planning. Only little methodical knowledge exists, which considers the temporal, spatial and organizational restrictions in the creation of a schedule. This paper aims to present the interdependencies in the planning and execution of realization projects and thus to provide a basis for discussion for further investigations in the field of scheduling factory relocations for the reorganization of factory objects.

factory planning, relocation planning, project planning, effect modeling

The reorganization of factory objects in the restructuring of existing factories is associated with numerous challenges. This article provides an overview of possible conflicting goals and key factors influencing the success of the project.

Factories are subject to continuous change. Ever shorter development cycles in the manufacture of different products lead to an increased need for restructuring of affected manufacturing structures. In the context of factory planning projects, the focus is on the design of the layout under the influence of individual framework conditions. The relocation steps necessary for realization are usually determined only after the layout design has been completed. However, the planning and preparation of the relocation represents an independent project task with regard to the objectives and complexity. Within the scope of the research project on the "Development of a Method for the Optimal Planning of the Relocation of Factory Objects in the Course of the Realization of a New Factory Layout" (OptiFaU), fundamental interrelationships in the planning and execution of factory relocations are investigated and discussed with regard to their significance for the success of the project. The aim of the project is to provide planning persons (e.g. relocation service providers or factory planners) with a possibility to evaluate relocation alternatives.

relocation planning, project planning, scheduling, factory planning, reorganization

The development of a method for the optimal planning of the relocation of factory objects is being addressed by the IPH - Institut für Integrierte Produktion Hannover gGmbH within the framework of a research project. The design of a relocation plan, taking into account temporal and spatial restrictions, represents a complex planning problem. The method to be developed enables a comprehensive evaluation of a relocation plan with regard to different target criteria. The mathematical optimisation model is to be implemented with the help of a heuristic solution procedure. The intuitive implementation within a software environment further supports the easy applicability.

Factory Planning, Relocation, Project Scheduling, Preparation for Realisation, Operations Research

Since free?aces for new buildings are limited or not available at all, redensification is a promising approach to generate new living space. This can be both the extension of existing buildings by further storeys and the vertical extension or change of use of other building structures. Modular house construction takes this objective into account because a large part of the added value is generated before construction begins. Its advantages are now set against the logistical challenges of post-densification.

Modular house construction, post-densification, construction sites, production planning and control

On inner-city construction sites, there is usually only a limited amount of space available. This increases the complexity in the implementation of corresponding construction projects and at the same time the risk of postponements. Both the composition of the demand for specific types of space and the development of demand during the construction period should be taken into account in the course of scheduling. One way of assessing the demand for space is to introduce the potential for conversion as an indicator of the property of a specific space to be able to adapt flexibly in the event of possible short-term changes in the construction project. This can be used to create an evaluation basis that initially provides decision support for project planners and can subsequently be integrated into optimising procedures for scheduling. This will have a positive influence on the quality of a schedule in connection with its robustness.

Scheduling, construction management, project planning, production planning, construction sites

In the production of stock goods, manufacturing companies are faced with uncertain customer demand. In order to counter uncertainties, an increased inventory is necessary in order to be able to meet customer demand. The costs incurred are influenced by the ordering behaviour given the forecast uncertainty. Ordering behaviour is largely determined by the ordering policy. Therefore, the influence of forecast uncertainty and ordering policy on the resulting storage costs was investigated by means of sensitivity analyses. Accordingly, forecast uncertainties require larger inventories under the (t, S) policy than under the (s, q) policy.

stock planning, ordering policy, forecasting

Demographic change and the associated population growth in large cities make it increasingly difficult to create affordable housing. There is also a lack of available building land for potential new buildings. One approach to alleviate the housing shortage in large cities is modular building post-compaction. In this context, prevailing framework conditions are characterized by limited available space, a complex infrastructure or the consideration of the burden on residents. The lack of description models for associated construction sites, as well as for the organisation and control of necessary processes, still stand in the way of their widespread use. This refers in particular to the interactions of the parameters mentioned and their effect on the logistic performance of such a construction site. This article therefore describes a method for the organization and control of construction site processes in the modular building post-compaction with the aim to be able to plan and carry out such con-struction projects efficiently and with little effort. The users shall be provided with a process description of the planning of construction site equipment and process flow, as well as with a decision support in case of disturbances of the process in the operative operation.

urbanization, demographic change, construction sites, production planning and control

By using digital tools in the factory planning process, the planning quality can be improved and the duration of the project can be shortened. In order to exploit these potentials, data consistency must be guaranteed throughout the planning process. In this article, digital factory planning tools, used at the Institut für Integrierte Produktion Hannover (IPH), will be presented and their applications and requirements will be discussed.

digital factory planning, factory planning process, data consistency, digital tools

Research projects