Towards smart production planning and control; a conceptual framework linking planning environment characteristics with the need for smart production planning and control

Rahmani, Mina; Romsdal, Anita; Sgarbossa, Fabio; Strandhagen, Jan Ola; Holm, Mathias

doi:10.1016/j.arcontrol.2022.03.008

Cited by 16 publications

(12 citation statements)

References 51 publications

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“…Based on the available literature, a few conclusions regarding state-of-the-art production planning systems in Industry 4.0 and 5.0 can be considered. Production planning faces similar challenges to the overall implementation of Industry 4.0 [9]. Although the concept has existed since 2011, there is very little evidence of implementation to a high degree, especially for process planning and scheduling.…”

Section: Challenges For the Production Planning In Industry 50mentioning

confidence: 99%

“…However, like all new initiatives, the implementation of Industry 4.0 creates resistance because people are wary of the unfamiliar and unproven and because they do not have enough information [6,7]. Furthermore, Industry 4.0 was criticized for placing more emphasis on improving production efficiency and flexibility than on the basic objectives of social justice and sustainability [8][9][10][11]. Therefore [8][9][10][11], ten years after the introduction of Industry 4.0, the European Commission unveiled the Industry 5.0 framework that reconciled human and machine activities to work in symbiosis [12].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Industry 4.0 was criticized for placing more emphasis on improving production efficiency and flexibility than on the basic objectives of social justice and sustainability [8][9][10][11]. Therefore [8][9][10][11], ten years after the introduction of Industry 4.0, the European Commission unveiled the Industry 5.0 framework that reconciled human and machine activities to work in symbiosis [12].…”

Section: Introductionmentioning

confidence: 99%

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Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles

Trstenjak,

Gregurić,

Janić

et al. 2023

Applied Sciences

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This paper presents the development and implementation of Integrated Multilevel Planning Solution (IMPS) a solution adhering to Industry 4.0 and 5.0 standards. Today, companies face challenges in understanding how new orders would impact existing production plans when there is limited traceability and information flow in their manufacturing process. The digital transformation of the production planning system enables a company to overcome the current challenges; however, to overcome the usual barriers of digital transformation a specialized solution for each company should be developed. IMPS was developed by first understanding the problems in the existing production planning process through a gemba (jap. for “actual place”) walk and interviews with stakeholders. The solution was designed with a human-centric approach and consists of seven components (Design System App (DSA), SAP (Systems Applications and Products in Data Processing), Microsoft Project, Microsoft Project Server, The Project Group (TPG) PSLink software, TPG ProjectLink, Tableau, and Smart Digital Assistance), which are well connected and integrated into the existing design. The system is accessible to the end user to find information, as the principles of Industry 5.0 require. A multivariant and multiuser planning capability was achieved with an interconnected Gantt chart of the master project with the ability to drill down into individual projects and custom views for various types of internal users. Most of the production planning solutions found in the literature were optimization-oriented, related to the improvements of the calculation methods within the planning activities in order to achieve a better efficiency of the planning system. Here, the goal was to achieve a system architecture that enabled a unique solution for design-to-order manufacturing without complex interventions into the existing system, which overcomes the most common barriers in Industry 4.0 implementations which are the human resistance to change, high investments, a lack of needed skills and knowledge for its implementation and use, and challenges of the adaptability to the new system. IMPS (ver 1.0) is a hybrid solution for SMEs, which aims to advance their planning system from the most commonly used Excel sheets towards a more advanced system but has financial and knowledge limitations from its implementation of highly complex software (ver. 1.0).

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Section: Challenges For the Production Planning In Industry 50mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles

Trstenjak,

Gregurić,

Janić

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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“…Although many companies have made large investments in technologies to automate production processes, many of the PPC decisions still rely on experts' experience [3], and they are often performed with the support of spreadsheet solutions. This type of manual planning has a number of limitations and weaknesses, especially for planning tasks of high mathematical complexity such as lateness minimization, effective solution generation, factory utilization, and inventory minimization [14].…”

Section: Production Planning and Control (Ppc)mentioning

confidence: 99%

“…And with this comes unprecedented opportunities for the application of data from a more diverse range of sources also into production planning and control (PPC), a concept which has been aptly named smart PPC. Smart PPC aims not only to support human decision-making but also to automate PPC tasks and make way for more integrated, dynamic, and real-time PPC [3].…”

Section: Introductionmentioning

confidence: 99%

Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data

Rahmani,

Syversen,

Romsdal

et al. 2023

IFIP Advances in Information and Communication Technology

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Planning quality depends on the use of correct, accurate, realistic, and reliable planning data. Industry 4.0 has facilitated large-scale data collection from a variety of sources, including production feedback data. The hierarchical nature of traditional production planning and control (PPC) limits the ability to use such data to improve planning quality. This paper explores how planning quality can be improved through the application of production feedback data into tactical production planning. The paper shows that while current tactical planning is mainly based on static master data, some of the master data for planning should instead be dynamically determined based on analysis of production feedback data. The paper develops a conceptual model for how production feedback data can be linked to tactical planning, illustrates how production feedback data can be applied in tactical planning, and proposes a method for how companies can integrate production feedback data into their tactical planning. Future work includes application and testing of the proposed concept in real-life cases and studies to better understand the specific relationship between the accuracy of master data and the performance of production plans.

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Production Scheduling Using Production Feedback Data; An Illustrative Case Study

Rahmani,

Romsdal,

Syversen

et al. 2023

IFIP Advances in Information and Communication Technology

Self Cite

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Industry 4.0 is providing unprecedented opportunities for the capture and use of data into production planning and control (PPC). The accuracy of such data for PPC has been found to have a direct positive effect on operational performance. This study builds on a dynamic approach where production feedback data is used to improve the accuracy of master data used in tactical planning. The study applies a model-based approach using data from a real case. Two illustrative sensitivity analyses indicate that even small deviations in the accuracy of master data have an impact on the production schedule in terms of job sequence and makespan. The paper's main theoretical contribution is the development of six propositions on this relationship, where in short, the sequence appears to be sensitive to the accuracy of both changeover time and processing time. The paper illustrates how sensitivity analysis can be used in investment decisions about which production feedback data to capture and use for PPC purposes. Further research should test the propositions in more real cases and other production environments and carry out sensitivity analyses with more types of master data, variables, and combinations.

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Towards smart production planning and control; a conceptual framework linking planning environment characteristics with the need for smart production planning and control

Cited by 16 publications

References 51 publications

Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles

Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles

Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data

Production Scheduling Using Production Feedback Data; An Illustrative Case Study

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