Investing in Industry 4.0 for the Gear Manufacturer/Job Shop (Part 2)
Assessing and modifying production systems prior to IoT implementation
This article requires that the reader be familiar with Job Shop Lean, an approach to adapt the principles of lean manufacturing for a job shop, regardless of its size or industry sector. The following articles will give the interested reader a sufficient background on the many differences between Job Shop Lean and Lean:
- Adapting Lean for High-Mix Low-Volume Manufacturing Facilities (Gear Technology, August 2012)
- A Quick-Start Approach for Implementing Lean in Job Shops (Gear Technology, October 2012)
- Remaster the Five Principles of Lean Manufacturing (The Fabricator, August 2018)
- Investing in Industry 4.0 for the Gear Manufacturer/Job Shop (Part 1) (Gear Technology, July 2024)
A job shop typically executes a different schedule every day. Each day’s schedule could have a different mix of jobs, due dates, lot sizes, and number of gear operations. Regardless of all these differences, it is important that the shop receives a feasible schedule that does not exceed available capacity constraints on key resources (machines, labor, materials, dies, etc.).
If a job shop desires to do daily work order releases that will not exceed resource capacity constraints, they should not expect their ERP (Enterprise Resource Planning) system to do this. The typical ERP system uses an MRP (Material Requirements Planning) or MRP-II (Manufacturing Resources Planning) engine to plan production and schedule operations. MRP assumes infinite capacity, fixed lead times, batch production to reduce setup times, etc. Instead of relying on an ERP system, the logical alternative is to use commercial FCS (Finite Capacity Schedulers) like ORTEMS, Opcenter, Tactic or Schedlyzer. It is not feasible to manually decide the set of jobs to release into production every day after taking into consideration resource capacity constraints, material shortages, changes in vendor deliveries, machine breakdowns, due dates, etc.
In the case of a manufacturing cell, there may not even be a need for scheduling software. Ideally, all the machines needed to produce any part in its part family (except vendor operations or external monuments like heat treat) will be co-located inside the cell. At the daily morning huddle, the cell’s team could meet with the production controller. They could eyeball the jobs in process or in queue from the previous day and determine if the cell’s bottleneck could process any new jobs. A cell guarantees start-to-finish control of the flow of its orders within a small area of the shop. Apart from unforeseen emergencies, the operators in the cell are empowered to work and execute as a team to ensure on-time completion of all jobs by their due dates. My years in industry as a full-time consultant have taught me to never underestimate the “do-or-die” determination of a cell’s team to complete orders on time and below costs.
Water Spider Utilization
Once an ERP system is integrated with a commercial FCS, a job shop is able generate a feasible daily schedule for each cell—external monuments that are shared by the cells and support departments (receiving, shipping, inspection, etc.).
Next, they must release that schedule to the shop floor, execute it and, at the end of each shift, communicate the current shop floor status of all active jobs back to their ERP. The role of schedule execution and status updating in the ERP is fulfilled by an MES (Manufacturing Execution System). If the facility is large (> 100,000 sq. ft.), then there is merit in implementing a fully integrated PPC (Production Planning and Control) system comprised of an ERP (SAP), a Finite Capacity Scheduler (Opcenter) and an MES (Factory Viewer). However, in the case of a single-location high-mix low-volume job shop, especially a small family-owned job shop, it may not be advisable to immediately purchase an MES. Instead, I will advise every job shop to create the position of water spider(s) by freeing up one or more employees on the shop floor.