Case study · Manufacturing

Chemical bagging lines: capacity vs. overtime

Chemical manufacturing: a model weighed new bagging line configurations against overtime cost and found low-capital options for growth.

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Chemical bagging lines: capacity vs. overtime model view

Background

Simulation Dynamics built a model to help a chemical manufacturer assess alternative bagging line configurations. In addition to initial experimentation done by SDI, the manufacturer has used the model on an ongoing basis for schedule and production assessments.

Model Purpose

  • Determine tradeoff between cost of alternative bag line configurations and overtime cost
  • Evaluate alternative scheduling parameter combinations in terms of inventory levels and overtime cost.

Key model inputs

  • Alternative demand and forecast scenarios; i.e., a stream of customer orders drives the model.

Key Experiment Factors

  • Alternative demand scenarios; e.g.,
Concept chart: a demand profile against a fixed capacity line, with the peaks where demand exceeds capacity highlighted.
  • Alternative scheduling parameters

  • Alternative bagging line configurations. In the current setup, bag lines are tied to bulk manufacturing lines:

Existing configuration: three bulk lines, each feeding its own bag line.

The "To-Be" configuration decoupled this tie, by introducing some short-term storage:

Configuration to be evaluated: three bulk lines feed short-term storage, which feeds two high-speed bag lines.

Critical Measurement: Overtime required under each bagging line scenario.

System Performance Measures

  • Total inventories
  • Customer order fill rate
  • Overtime hours

Plot of Bag Line Activity

Average weekly hours (production, repair, changeover, idle, overtime for a 10-year experiment horizon):

Case Study - Chem Mfg Plot of Bagline Activity

Project Results

The modeling revealed options for business growth that weren't readily apparent through traditional analysis methods. Our ability to handle both manufacturing complexity and supply chain interactions provided comprehensive insights for the restructuring decisions.

"We have uncovered additional options for low capital cost business growth, some of which were not readily apparent beforehand." — Rick Dougherty, Senior Manufacturing Analyst, Rohm & Haas (Dow Chemical)

Strategic Assessment

The following list provides links to articles within this document that address the strategic assessment issues related to this case study:

  • Production Capacity
    A central issue in the chemical packaging model was the need for overtime. The tradeoff between capital cost of increased capacity and the cost of overtime was assessed.
  • Safety Stock Design
    Safety stock was set at customer facing inventories using the basic calculation, without modification.
  • Postponement
    In the current production scenario, packaging lines are dedicated to bulk production lines and must pack off product as it is produced. The future scenarios being considered introduce bulk storage between bulk production and packaging, with new high speed packaging lines that could operate on a different schedule from bulk production. This form of postponement allows greater flexibility in scheduling of production and packaging resources.

Documentation

SDI Industry: An Extend-Based Tool for Continuous and High-Speed Manufacturing; Andrew J. Siprelle, Richard A. Phelps, M. Michelle Barnes, Simulation Dynamics. 1998 Winter Simulation Conference.

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