contract logistics

The competitive pressure in the contract logistics industry is intense. Logistics providers must respond to tenders quickly and with convincing concepts. This article presents initial approaches to how logistics process planning in tender management can be supported using supervised learning methods. Under the premise that similar processes from past projects can be transferred and adapted to a project to be planned, an AI-based assistance system suggests appropriate process steps and MTM (Methods-Time Measurement) codes during planning. This procedure can accelerate process planning and lead to an increased quality of logistics processes to be planned. (Only in German)

Intense global competition, shorter product life cycles and an increasing number of variants require flexible and adaptable, but at the same time economical production and logistics systems. This requires constant replanning of factories and logistics systems. Value-adding processes are being outsourced to contract logistics providers. Contract logistics planners must respond to tenders as quickly as possible and develop a proposal with an initial planning concept and a cost estimation. Despite standardization efforts in planning, the knowledge is often only implicit at the planners. This article describes the need for support by an AI-based assistance system during the planning process and how a digital platform for such an assistance system should look like.

Due to COVID-19 the production lines of the German automotive manufacturers were stopped for an average of 30 days. Even allegations of exhaust manipulation, the required structural change in the direction of electro mobility as well as stricter CO2 regulations are representatives for risks that impact automotive value chains. In order to encounter such risks in an entrepreneurial manner, cooperative, integrative and analytical skills are required, which are brought together in a mature risk management model. While automotive manufacturers and suppliers are in the scientific and public focus of such risks less attention is paid to the risk management of directly affected contract logistics service providers in this industry. In this article a risk management model for contract logistics service providers in the automotive sector is developed that leads to elaborated risk mitigation strategies. A differentiation of risks should take place on three levels by not only company-internal ...

Due to the possibility of operator intervention, semi-autonomous systems allow for a better handling of complexity than fully autonomous systems. The use of a digital twin provides a novel interface for interaction with such systems. This paper describes the implementation of the control and user interface in a system with a digital twin. It is shown how the developed control architecture can be combined with different methods of human-machine interaction and virtual training. With this extended use of the control system by a digital twin the concept can be extended beyond the operation phase and can be used in other phases of the product life cycle.

The use of autonomous systems is not efficient in all applications due to variable system environments or small quantities. Semi-autonomous systems are able to bridge this gap. This article presents a digital twin-based approach for human-machine interaction using adaptive automation. A case study shows how a modular digital twin can support the operator of a CPS in specific tasks. This method allows for a distinction between short-term signal changes and long-term behavior modification. Thus, semi-autonomous systems can support operators in scenarios in which autonomous systems are not viable.

Range and individualisation of diversified logistic services vary substantially. A unique indicator for specific CO2-emission is not a viable option. The author proposes to aggregate individual CO2-efficiency trends of sub-entities by adding all singular tendencies during a reporting period weighted against the overall CO2-emission of the reporting entity or group of entities. The result is a weighted average tendency giving a viable indication of the specific CO2-emission trends of a logistics service provider.

Knowledge management can be an important competitive advantage for many companies. Small and medium-sized enterprises (SMEs), which often have limited access to capital. The challenge in contract logistics is to identify an appropriate knowledge management approach. In particular, the process of proposal preparation is characterized by a high complexity and intensity of specific knowledge. This article presents a knowledge management approach for the tender preparation process of SME in contract logistics.

Logistics is one of the biggest trade volume industry sectors in Germany. External factors of influence are pushing the logistics sector to redesign its processes and operating activities environmentally. In the practical experience methodical tools are missing which help to identify environmental potential for optimization, to evaluate it and to document quantitatively the realized improvement. One possibility to combine the environmental and the financial point of view in intralogistics is demonstrating a novel reference model. With this model weaknesses can be identified and appropriate goals and activities can be defined to improve them. The combination of the reference model with a data base system affords to simulate and to review the effects of the activities just before their operational realization. The application of the reference model and its benefits for the contract logistics enterprises will be characterized in this article.

The growing tendency to outsource logistics has been postulated for many years. The unrealised outsourcing potential in Europe has, however, been growing since the last 3-5 years. According to a recent survey a realistic outsourcing potential of 16 billions can be attributed to the German logistics market alone. Insufficient competence of Third Party Logistics (TPL) providers has been postulated as one of the underlying reasons for not realising this enormous market potential. Based on the results of a case study this paper presents a model for contract logistics competence and shows how much the expectations towards the logistics providers can differ from logistics providers’ self assessment.

Contract logistics is not a dynamic growth market. This is the conclusion of "Myths in Contract Logistics," a recent study from Mercer Management Consulting. The study explodes a number of myths that have had a big impact on market performance for years: that there is a sharp trend toward logistics outsourcing, that logistics is a highly profitable high-end market, that profitable logistics providers only require low investment capital - and that satisfied customers remain loyal over long periods of time. Mercer investigated more than thirty leading logistics companies worldwide with a total sales revenue of 228 billion euros and makes suggestions for successful business designs in the contract logistics sector.