Renovation of the cutting stock process

Erjavec, Jure; Gradišar, Miro; Trkman, Peter

doi:10.1080/00207540801935624

Cited by 18 publications

(10 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These additional days are used to increase production flexibility and prevent late deliveries because of transportation factors. This supply chain mode is similar to the process improvements proposed by Erjavec et al [30].…”

Section: Introductionsupporting

confidence: 59%

A New Decision Model for Reducing Trim Loss and Inventory in the Paper Industry

Wang

Liu

2014

Journal of Applied Mathematics

View full text Add to dashboard Cite

In the paper industry, numerous studies have explored means of optimizing order allocation and cutting trim loss. However, enterprises may not adopt the resulting solutions because some widths of the inventory exceed or are less than those required for acceptable scheduling. To ensure that the results better suit the actual requirements, we present a new decision model based on the adjustment of scheduling and limitation of inventory quantity to differentiate trim loss and inventory distribution data. Differential analysis is used to reduce data filtering and the information is valuable for decision making. A numerical example is presented to illustrate the applicability of the proposed method. The results show that our proposed method outperforms the manual method regarding scheduling quantity and trim loss.

show abstract

Section: Introductionsupporting

confidence: 59%

A New Decision Model for Reducing Trim Loss and Inventory in the Paper Industry

Wang

Liu

2014

Journal of Applied Mathematics

View full text Add to dashboard Cite

show abstract

“…It is one of the most widely used simulation tools [55], which enables our approach to be repeated in a practical setting. Similar methodological approaches were successfully used in the past to measure the effects of a business process improvement in public administration [56], supply chains [11], and production processes [57]. A 12-month simulation was run, which amounted to approximately 33 000 orders.…”

Section: ) Scenario 4 (Scen4)mentioning

confidence: 99%

Estimating the Benefits and Risks of Implementing E-Procurement

Trkman

McCormack

2010

IEEE Trans. Eng. Manage.

Self Cite

View full text Add to dashboard Cite

Abstract-In recent years, organizations have invested heavily in e-procurement technology solutions. However, an estimation of the value of the technology-enabled procurement process is often lacking. Our paper presents a rigorous methodological approach to the analysis of e-procurement benefits. Business process simulations are used to analyze the benefits of both technological and organizational changes related to e-procurement. The approach enables an estimation of both the average and variability of procurement costs and benefits, workload, and lead times. In addition, the approach enables optimization of a procurement strategy (e.g., approval levels). Finally, an innovative approach to estimation of value at risk is shown.Index Terms-Business process modeling, e-procurement, methodological approach, procure-to-pay (P2P) process, simulations, value at risk (VaR).

show abstract

“…Over the years, studies have focused on models and methods for the classical CSP [4,7,18,21,25,34,48,50], alongside classifications and literature reviews [13,19,49,51]. In industry, however, the CSP is not an isolated process and better contributes to the business goals if handled together with other processes [20]. Many researchers have dedicated their studies to the integration of the CSP with operational characteristics [53], like scheduling [5,54], lot-sizing [23,37], saw cycles [32], batch production [43] and alternative manufacturing modes [31].…”

Section: Introductionmentioning

confidence: 99%

Arc-flow formulations for the one-dimensional cutting stock problem with multiple manufacturing modes

et al. 2023

View full text Add to dashboard Cite

In this paper, an integration of the one-dimensional cutting stock problem with an operational problem that arises in the manufacture of concrete poles is studied. Seeing that poles have a steel structure, different thicknesses of steel bars can be used in their manufacture. This variety in combining the materials to produce the structure of the poles is known as alternative production modes or multiple manufacturing modes. The problem considered here has the objective of minimizing the total cost to meet the demand for poles using the different available configurations. This problem has already been introduced in the literature and it has been formulated as an integer programming problem. To solve it, the column generation procedure was used. The contribution of this paper is to reformulate the cutting stock problem with multiple manufacturing modes using arc-flow formulations. Arc-flow formulations are promising tools to model and solve complex combinatorial problems. Computational tests are performed comparing the formulations using instances from the literature, which were generated based on the data from a civil construction plant. The arc-flow formulations increased the number of instances solved to proven optimality and also reduced solution time. Lower and upper bounds are also improved when compared with the solution proposed in the literature.

show abstract

Renovation of the cutting stock process

Cited by 18 publications

References 50 publications

A New Decision Model for Reducing Trim Loss and Inventory in the Paper Industry

A New Decision Model for Reducing Trim Loss and Inventory in the Paper Industry

Estimating the Benefits and Risks of Implementing E-Procurement

Arc-flow formulations for the one-dimensional cutting stock problem with multiple manufacturing modes

Contact Info

Product

Resources

About