scholarly journals Autonomous Control of Logistic Processes: A Retrospective

2021 ◽  
pp. 3-34
Author(s):  
Susanne Schukraft ◽  
Michael Teucke ◽  
Michael Freitag ◽  
Bernd Scholz-Reiter
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Transportation Networks ◽  
Autonomous Control ◽  
Control Methods ◽  
Service Companies ◽  
Planning And Control ◽  
Logistic Service ◽  
High Dynamics ◽  
And Control

AbstractManufacturing and logistic service companies are increasingly confronted with high dynamics and complexity. Due to its particular suitability for short-term and situation-dependent decision-making, autonomous control can improve planning and control of production and related transportation processes. This chapter gives an overview of the research that the BIBA—Bremer Institut für Produktion und Logistik GmbH has performed over the past years in the field of autonomously controlled production and transportation networks. The chapter focuses on the modeling approaches and the autonomous control methods that have been developed. These methods have been evaluated using both theoretical and real-world scenarios. The results show the applicability and suitability of autonomous control in complex and dynamic production and transportation environments. In addition, influences on the methods’ performance and the integration of autonomous control into conventional planning and control systems are discussed. Finally, the chapter looks at the significance of autonomous control in the context of Industry 4.0 and shows the relations between both concepts.

scholarly journals Evaluation System for Autonomous Control Methods in Coupled Planning and Control Systems

Procedia CIRP ◽  
2015 ◽  
Vol 33 ◽  
pp. 121-126 ◽  
Author(s):  
S. Grundstein ◽  
S. Schukraft ◽  
B. Scholz-Reiter ◽  
M. Freitag
Keyword(s):  
Control Systems ◽  
Evaluation System ◽  
Autonomous Control ◽  
Control Methods ◽  
Planning And Control ◽  
And Control

Joint operational decision-making in collaborative transportation networks: the role of IT

2014 ◽  
Vol 19 (2) ◽  
pp. 200-210 ◽  
Author(s):  
Paul Buijs ◽  
J.C. (“Hans”) Wortmann
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
State Of The Art ◽  
Transportation Networks ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Planning And Control ◽  
Operational Decision Making ◽  
And Control

Purpose – This paper addresses horizontal supply chain collaboration among autonomous freight carriers in the less-than-truckload industry. The main purpose of the paper is to identify and explain the challenges with joint operational decision-making in this context and investigate the precise role of information technology (IT) therein. Design/methodology/approach – Empirical evidence is gathered by means of exploratory and explanatory case research, with multiple cases at the planning departments of European freight carriers operating in collaborative transportation networks. Findings – Collaborating carriers face fundamental challenges in joint operational planning and control of collaborative transportation, despite the broad availability of state-of-the-art IT. These operational supply chain challenges can be explained by technological differences of the available IT applications, which hinder integration. Research limitations/implications – Any expectations with regard to state-of-the-art XML or EDI-based IT integration for improved joint operational decision-making in collaborative transportation networks should be considered with care. In particular, the authors' research findings may encourage practitioners to consider new planning and control procedures and develop dedicated IT applications for collaborating freight carriers. Originality/value – The paper highlights the importance of horizontal supply chain collaboration for small and medium-sized freight carriers in the less-than-truckload industry and conceptualises how collaborative transportation networks are organised. Furthermore, an IT typology is introduced to explain the challenges with joint operational decision-making.

scholarly journals Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Future Outlook ◽  
Control Plan ◽  
Quality Planning ◽  
Planning And Control ◽  
Brazilian Northeast ◽  
And Control

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Manufacturing Industry ◽  
Process Management ◽  
Process Mining ◽  
Smart Factory ◽  
Manufacturing Processes ◽  
Planning And Control ◽  
And Control

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

Fusion of Fuzzy Multi-Criteria Decision Making Approaches for Discriminating Risk with Relate to Software Project Performance

2021 ◽  
pp. 346-373
Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain
Keyword(s):  
Decision Making ◽  
Project Performance ◽  
Software Project ◽  
Multi Criteria Decision Making ◽  
Assessment Framework ◽  
Planning And Control ◽  
Project Complexity ◽  
Software Project Performance ◽  
And Performance ◽  
And Control

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.

scholarly journals Integration of condition based maintenance orders into the decision-making of autonomous control methods

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 216-221 ◽  
Author(s):  
Fabian Foerster ◽  
Daniel Mueller ◽  
David Scholz ◽  
Alexander Michalik ◽  
Lorenz Kiebler
Keyword(s):  
Decision Making ◽  
Autonomous Control ◽  
Condition Based Maintenance ◽  
Control Methods

scholarly journals The concept of operation and production control

2021 ◽  
Vol 27 (2) ◽  
pp. 100-107
Author(s):  
Radosław Wolniak
Keyword(s):  
Artificial Intelligence ◽  
Production Planning ◽  
Industry 4.0 ◽  
Production Management ◽  
Production Control ◽  
Main Function ◽  
Production Planning And Control ◽  
Factors Affecting ◽  
Planning And Control ◽  
And Control

Abstract The theoretical aim of the paper is to analyses the main function and concept of production control in operation management. The empirical aim of the paper is to investigate polish production firm opinion about factors affecting production planning and control and also functions of production planning and control. Production control is very important in every factory, and every aspect of operation and production management especially in times of Industry 4.0 conditions. In the paper we presented all classical seven task of production management control. Also there is in the paper an analysis of main factors affecting production control in industrial organization. In the paper we analysed the problems connected with production control. Nowadays in the conditions of Industry 4.0 this is very important concept because the increasing level of digitalization of all industrial processes leads to possibility of detailed analysis of all processes and better level of control. Operation managers should have good level of knowledge about production control and especially quality control. They can use in this many new information tools like statistical methods and artificial intelligence. Especially we think that in the future many function of production control would be assisted by artificial intelligence. We also in the paper give results of research conducted on example of 30 polish production organizations located in Silesia region.

scholarly journals Comparative Studies of the Use of Management Accounting Information

2018 ◽  
Vol 7 (2) ◽  
pp. 1-7
Author(s):  
Ewelina Zarzycka ◽  
Justyna Dobroszek ◽  
Alina Almasan ◽  
Cristina Circa
Keyword(s):  
Decision Making ◽  
Political Development ◽  
Management Accounting ◽  
Accounting Information ◽  
Descriptive Statistics ◽  
Financial Data ◽  
Planning And Control ◽  
Similarities And Differences ◽  
And Control ◽  
Mimetic Isomorphism

The paper uses the phenomenon of isomorphism to present the similarities and differences in the use of management accounting information by managers in Poland and Romania. In order to analyze the set of data obtained from the conducted survey, cluster analysis and descriptive statistics have been applied. The studied managers use mainly management accounting information for planning and control tasks (budgeting) and less for formulating strategy and decision making. In their work, they rather apply financial data than nonfinancial indicators. The findings confirm that management accounting in both countries is strongly influenced by the mechanisms of coercive, normative and mimetic isomorphism connected with their specific economic and political development.  

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