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Production Planning, Scheduling & Optimization
Integrated Solutions

Production Planning, Scheduling & Optimization

Plan with real constraints, schedule with confidence, and keep production flowing—even when recipes or demand change.

Plans drift when constraints aren’t explicit, and exceptions lack a path to closure. This page offers a practical way to digitize scheduling, align inventory and resources, and scale production changes without losing control. Start small, prove the loop, then expand.

What you’ll get on this page

  • A staged approach you can run with existing systems
  • Clear KPIs
  • Short Use Cases with links to OpreX™ Integrated Solutions pages
Plan with real constraints, schedule with confidence, and keep production flowing—even when recipes or demand change.

 

Why Yokogawa

  • A finite-capacity scheduling approach that adapts to real production constraints
  • Standardized methods proven across multi-site operations and diverse industries
  • Outcome from reduced planning time and lower manual workload

 

Overview

  • Challenge
    Spreadsheet-heavy planning, unclear handoffs, and delayed feedback create rework and missed targets.
  • Approach
    One experience: scheduling & process digitization → inventory & resource alignment → scalable line/recipe expansion.
  • Outcomes
    Higher adherence and throughput, shorter changeovers, fewer exceptions, and faster time to stability after changes.
  • Primary KPIs
    Plan stability, schedule adherence, throughput, changeover time, on-time completion, inventory turns, exception closure time.

We describe methods and typical goals. Actual outcomes vary by site conditions, data quality, and operating constraints.

Details

Challenges

 

Do any of these sound familiar in your operations?

 

Scheduling & process digitization

Scheduling & process digitization

  • The schedule lives outside execution
  • Changes don’t flow cleanly
  • Approvals add delay
Inventory & resource management

Inventory & resource management

  • Materials, equipment, and people aren’t synchronized to the latest plan or constraints
Production line expansion & scalability

Production line expansion & scalability

  • New recipes/lines take time to stabilize
  • Standards are applied unevenly across sites

 

How Yokogawa helps

 

Practical ways to address these challenges with your team

 

Digitize the schedule and link it to execution

Digitize the schedule and link it to execution

  • Keep one plan version
  • Define who updates what and when
  • Route exceptions with owners and timers
Synchronize materials, equipment, and people

Synchronize materials, equipment, and people

  • Tie plan changes to inventory reservations and resource assignments
  • Prevent double-bookings and stock-outs
Make change scalable and repeatable
 

Make change scalable and repeatable

  • Template steps for new recipes/lines
  • Capture learnings
  • Roll out updates on a fixed cadence across sites

 

Use Case

 

Flexible scheduling for frequent recipe & small-lot changes

Spreadsheet plans hide constraints; changeovers turn chaotic. Keep one live plan, encode rules for frequent recipe changes, and route exceptions with owners and timers so change becomes predictable.

Team achieves
  • Higher plan stability and schedule adherence
  • Shorter changeovers and fewer rescues
  • Balanced workloads with fewer conflicts
Flexible scheduling for frequent recipe & small-lot changes

 

Solution Pick Up

 

  • Supply Chain Planning (PETRO)

    PETRO는 분산 재귀 선형 프로그래밍(Distributed Recursive Linear Programming)을 사용하여 사용자가 공급 원료 선택에서 공정 운전 및 생산 포트폴리오 계획에 이르기까지 가장 최적의 결정을 내릴 수 있도록 지원합니다.

  • Visual MESA Supply Chain Scheduling

    Visual MESA Supply Chain Scheduling은 통합 위상(topological) 모델을 사용하여 플랜트 운전원이 운전을 효율적으로 계획하고 시뮬레이션할 수 있도록 지원합니다.

  • Batch Data Historian (Exaquantum/Batch)

    Exaquantum/Batch는 지능형 ISA-88 배치 정보 시스템입니다. 배치 생산, 장비 및 레서피 관점에서 현재 및 과거 데이터를 수집, 저장 및 표시하는 검증된 분석 및 보고 기능을 제공합니다.

  • Integrated Production Information (Exaquantum/mPower)

    mPower는 Exaquantum의 성능을 확장하여 비즈니스 및 공정 데이터를 생산 모델에 통합함으로써 가치 있는 생산 자원을 최적화하고 최대화하는데 필요한 검증된 정보를 제공합니다.

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