Similar Search Results

Supply chain planning in the food industry

Stüve, David; Meer, Robert van der; Lütke Entrup, Matthias - In: Data science and innovation in supply chain management …, (pp. 317-353). 2020

Purpose: Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper presents a systematic literature review of supply chain planning (SCP) in the food industry. In particular, the literature on three...

Persistent link: https://www.econbiz.de/10012387949

Impacts of a smart factory on procurement logistics

Zander, Bennet; Lange, Kerstin; Haasis, Hans-Dietrich - In: Data science and innovation in supply chain management …, (pp. 459-485). 2020

Purpose: In order to keep up with the automation Smart Factories will bring into the market, procurement logistics has … procurement processes as well as the further role of logistics service providers in the procurement network with references to the … art of its procurement logistics current gaps are identified. Subsequently, a modified concept for the delivery of the …

Persistent link: https://www.econbiz.de/10012388001

Evaluation of data quality in dimensioning capacity

Vliegen, Lea; Moroff, Nikolas Ulrich; Riehl, Katharina - In: Data science and innovation in supply chain management …, (pp. 355-394). 2020

Purpose: This paper aims to give an overview of the current state of research on measuring data quality. The identified methods will be applied to the task of dimensioning capacities (e.g. warehouse capacities) in the field of supply chain design (SCD) to further increase trust in decision...

Persistent link: https://www.econbiz.de/10012388018

Application of agile methods in traditional logistics companies and logistics start-ups: first results from a German Delphi study

Zielske, Malena; Held, Tobias - In: Data science and innovation in supply chain management …, (pp. 187-219). 2020

companies and startups increases their agility by using agile methods. The logistics industry in particular is known to be a … study conducted is to assess how traditional logistics companies and logistics startups use agile methods in their IT … the first results, insights can be gained on the following points covering traditional logistics companies and logistics …

Persistent link: https://www.econbiz.de/10012388021

How disruptive start-ups change the world of warehouse logistics

Feldt, Julia; Kontny, Henning; Niemietz, Frank - In: Data science and innovation in supply chain management …, (pp. 3-24). 2020

Purpose: New technical solutions in logistics change the ways of working within warehouses on different levels, from … multiple case study approach was used. To gain a deeper un-derstanding of the changes within logistics processes, the results …

Persistent link: https://www.econbiz.de/10012388082

Product lifecycle optimization by application of process mining

Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020

Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...

Persistent link: https://www.econbiz.de/10012388084

A procedural model for exoskeleton implementation in intralogistics

Feldmann, Carsten; Kaupe, Victor; Lucas, Martin - In: Data science and innovation in supply chain management …, (pp. 113-151). 2020

such as demographic transitions and skills shortages in logistics. The procedural model closes a research gap from a …

Persistent link: https://www.econbiz.de/10012388093

Mastering the supply chain by a concept of a ditigal control-twin

Herlyn, Wilmjakob; Zadek, Hartmut - In: Data science and innovation in supply chain management …, (pp. 661-697). 2020

approach uses the idea of a Digital-Twin Concept for logistics that bases of three pillars: 1) 'reality': actual status of … for engineered products can be transferred into the world of logistics and especially for supply chains. The Digital …

Persistent link: https://www.econbiz.de/10012388094

Improving risk assessment for interdependent urban critical infrastructures

König, Sandra - In: Data science and innovation in supply chain management …, (pp. 279-291). 2020

Purpose: Urban critical infrastructures are highly interdependent not only due to their vicinity but also due to the increasing digitalization. In case of a security incident, both the dynamics inside each infrastructure and interdependencies between them need to be considered to estimate the...

Persistent link: https://www.econbiz.de/10012388098

Realization and validation of a collaborative automated picking system

Rieder, Mathias; Verbeet, Richard - In: Data science and innovation in supply chain management …, (pp. 521-558). 2020

Purpose: A picking system is presented ensuring order fulfilment and enabling transformation from manual to automated picking using a continuous learning process. It is based on Machine Learning for object detection and realized by a human-robot collaboration to meet requirements for flexibility...

Persistent link: https://www.econbiz.de/10012388108