Advanced Planning and Scheduling in Manufacturing and Supply Chains

Mauergauz, Yuri

doi:10.1007/978-3-319-27523-9

Cited by 22 publications

(8 citation statements)

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“…The competitive advantage of supply chain management is achieved substantially though SCP (Jonsson and Holmström, 2016). SCP involves multiple functional areas where the processes and activities can be broadly distinguished by: (1) the focal supply chain process – that is sales, procurement, production and distribution, and (2) the planning horizon (Mauergauz, 2016; Stadtler and Kilger, 2005). Taking the supply chain planning matrix as a reference (Stadtler and Kilger, 2005), the processes in SCP span across strategic network planning, demand planning, demand fulfilment & ATP, master planning, production planning and scheduling, purchasing and material requirement planning and distribution and transport planning .…”

Section: Research Backgroundmentioning

confidence: 99%

On relating big data analytics to supply chain planning: towards a research agenda

Pero

Ciccullo

et al. 2021

IJPDLM

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PurposeThis paper aims to examine how the extant publication has related big data analytics (BDA) to supply chain planning (SCP). The paper presents a conceptual model based on the reviewed articles and the dominant research gaps and outlines the research directions for future advancement.Design/methodology/approachBased on a systematic literature review, this study analysed 72 journal articles and reported the descriptive and thematic analysis in assessing the established body of knowledge.FindingsThis study reveals the fact that literature on relating BDA to SCP has an ambiguous use of BDA-related terminologies and a siloed view on SCP processes that primarily focuses on the short-term. Looking at the big data sources, the objective of adopting BDA and changes to SCP, we identified three roles of big data and BDA for SCP: supportive facilitator, source of empowerment and game-changer. It bridges the conversation between BDA technology for SCP and its management issues in organisations and supply chains according to the technology-organisation-environmental framework.Research limitations/implicationsThis paper presents a comprehensive examination of existing literature on relating BDA to SCP. The resulted themes and research opportunities will help to advance the understanding of how BDA will reshape the future of SCP and how to manage BDA adoption towards a big data-driven SCP.Originality/valueThis study is unique in its discussion on how BDA will reshape SCP integrating the technical and managerial perspectives, which have not been discussed to date.

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Section: Research Backgroundmentioning

confidence: 99%

On relating big data analytics to supply chain planning: towards a research agenda

Pero

Ciccullo

et al. 2021

IJPDLM

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“…The S&OP grid is linked to the disaggregate planning to detail each division's activities. The coverage of activities are per group demand, sales, production, and stock that monthly monitored included the salary, overtime, downtime, hiring, firing, storage material, ongoing expense, total cost, income, and profit (Mauergauz, 2016).…”

Section: Alternative Of Solutionsmentioning

confidence: 99%

BUSINESS PROCESS RE-ENGINEERING THROUGH 3 HARD Ss McKINSEY FRAMEWORK AS WORKING CAPITAL MANAGEMENT IMPROVEMENT PROPOSAL (CASE STUDY: PT. XYZ – 2020/2021)

Prasetyo

Yudoko²

2021

Pertahanan

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<div><p class="Els-history-head">Due to the negative operating cash flow, working capital's unsatisfactory performance indicates that internal business processes exist. Meanwhile, the COVID-19 pandemic urges the management to be wiser in making decisions, primarily to support better working capital management. They cannot rely forever on its aggressive capital structure. Accordingly, the management committed to carrying out operation improvement related to working capital management. This decision is the background of this research to identify and analyze the root cause problems and improvement plan issues. Further investigations regarding the business issue are conducted, and business process re-engineering through the 3 hard Ss framework is selected as the research design. These frameworks are approached due to their capability to map the thorough process and link them to one another. These combination improvement ideas over the ineffective and inefficient activities could be blended while organized to be aligned with the organizational directions. This research is conducted through a semi-structured interview to explore the company conditions and uses secondary data to gather the information and strengthen the evidence. At least 14 ineffective and inefficient activities were then carried out a root-cause analysis to determine the source of the problem that had to be eliminated. Based on these findings, four management improvements are suggested: Production management, Receivable Management, Payable management, and Cash flow control and monitoring translated into action plan strategies, procedures, and tools which are equipped structurally and systems.</p></div>

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“…Thus, the operation finishes at the moment t k + p kj . As it was demonstrated in [19], the utility of the entire set of orders at any level of operation tree may be computed by one of two recurrent formulas, which are used, if the utility value is known at the previous level: integrals and necessary tables are described in [20].…”

Section: Page 16mentioning

confidence: 99%

Bi-criteria scheduling for Multistage Multiproduct Batch Plants with Due Dates and Setups

Mauergauz¹

2016

IJIE

Self Cite

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This paper presents a method for multistage multiproduct batch scheduling based on two criteria simultaneously: relative setup cost criterion and average orders utility criterion. Batch size is determined at the first operation and will not change further. During scheduling process batches are automatically grouped by product types for cost decreasing. Storing between operations is unavailable. In this method, the concept of production intensity as a dynamic production process parameter is used. A software package allows scheduling for medium quantity of jobs. The result of software application is the set of non-dominant versions proposed to a user for making a final choice.

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Advanced Planning and Scheduling in Manufacturing and Supply Chains

Cited by 22 publications

References 0 publications

On relating big data analytics to supply chain planning: towards a research agenda

On relating big data analytics to supply chain planning: towards a research agenda

BUSINESS PROCESS RE-ENGINEERING THROUGH 3 HARD Ss McKINSEY FRAMEWORK AS WORKING CAPITAL MANAGEMENT IMPROVEMENT PROPOSAL (CASE STUDY: PT. XYZ – 2020/2021)

Bi-criteria scheduling for Multistage Multiproduct Batch Plants with Due Dates and Setups

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