SCM

Optimal Supply Chain Management Solution for Improved Enterprise Transport

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THiRA SCM

Supply chain management (SCM) solution supports the efficient management of the entire supply chain of sales, shipping, production and purchasing, and the fast and rational decision-making about manufacturing site variability, gaining customer trust and increasing your company’s transports by eliminating waste in the supply chain.

Need to introduce solution

– Need a response system and decision support system to recognize market changes and respond quickly to changes.
– Delivery delay and increased supply lead time due to unstructured and unreasonable purchase, production, and shipment based on quantity
– Difficult to make plan based on profitability due to manual and inefficient planning based on planner’s empirical knowledge
– Need to secure supply (logistics) visibility to cope with the trend of production diversification by global sourcing

Expected Effect of Solution Introduction

Supply flexibility

– Shorten supply lead time by establishing an organic and rational supply response system based on APS (Advanced Planning & Scheduling)

– Securing appropriate safety inventory through demand forecast based on statistical demand analysis, sales strategy and demand management based on customer collaboration

Price competitiveness

– QCD (Quality, Cost, Delivery) target management can be managed at each stage from order to development and volume increase through PLC management system

– Can eliminate waste factors (inventory costs, emergency shipment costs, etc.) in the supply chain due to demand-based supply volume management

Supply safety

– Strengthen planning-based manufacturing execution ability by building global S & OP (Sales & Operation, Planning) operating system

– Optimize system-based resource operation and establish collaboration system.

Case study of implementation

Case 1

A case study of implementation of APS considering implementation volatility based on the final plan.

Target customer

Hi-Tech manufacturing company in Korea

Application Solution

THiRA Planner, THiRA Scheduler

Coverage

Mobile products, home appliances / video products, network products
✓ Establish production plan for assembly / part process and link its execution
✓ Generate work orders for each facility reflecting the execution variability

The Challenge

  • It is necessary to minimize the delay of delivery by the production plan made in consideration of the variation in manufacturing execution
  • Need to synchronize part process and partner production targets based on final production targets
  • Need to upgrade management and operation system of reference information for production plan
  • Need to establish operation standard based on system

The Solution

  • Suggest the goal of stable execution plan by operating the final plan section of all processes / lines
  • Establish production plan by process / company based on synchronization and transport plan between process / company and link its execution
  • Create and reflect reference information based on performance information
  • Production plan based on standardized solution policy & rule

The Benefits

  • Shorten production lead time and reduce work in process / stock by presenting clear goals based on all process / line final plans
  • Minimize final production disruption through synchronized production targets and improve supply responsiveness through securing visibility
  • Improved operational stability and efficiency through standardized production planning system

Case 2

A case study of implementation of APS considering industrial and process characteristics

Target customer

Domestic defense manufacturing company

Application Solution

THiRA SCP, THiRA Planner

Coverage

Fixed wing, rotary wing, aircraft structure,… etc
✓ Establish production plan based on parts and assembly process / workshop
✓ Create plan information by unit / project and link its execution

The Challenge

  • Need to establish entire process production plan based on unit / project and pegging information
  • Need to manage progress by unit / project due to long production lead time and reflect design volatility
  • Need to establish production plan considering process production characteristics (parts: equipment constraints, assembly: manpower constraints)

The Solution

  • Establish all process production plan by unit / project through demand management and present order-tracking information
  • Establish a plan through WIP-BOM Configuration by Unit / Project and reflect individual design variability
  • Establish PUSH production for parts process based on utilization rate and PULL production for assembly based on delivery date

The Benefits

  • Secure visibility of production plans for the mid to long term and improve customer responsiveness through progress management by unit and project.
  • Efficiency in reflecting individual design changes and constraints by managing and reflecting BOM by unit / project
  • Improved operational stability and efficiency through standardized production planning system

Case 3

A case study of implementation of APS considering all process synchronization and production characteristics

Target customer

Domestic Secondary Battery manufacturing company

Application Solution

THiRA SCP, THiRA Planner

Coverage

Automotive batteries, small batteries, ESS batteries.
✓ Establish production plan based on electrode and assembly process / line
✓ Create plan by process / part number and link its execution

The Challenge

  • Requires production plan considering type change (model change) and customer certification restrictions
  • Requires assembly input based on final assembly production targets and synchronization of electrode process production targets.
  • Need to establish production plan considering process production characteristics (electrode: buffer production, assembly: order production)
  • Upgrade management and operation system of reference information for production plan

The Solution

  • Establish production plan based on rule of type change (model change) minimization and reflect line assignment constraint of customer certification criteria.
  • Establish production plan by process based on synchronization and transport plan between process / building and link its execution
  • Batch-based production planning, which is a production constraint for electrode processes.
  • Create and reflect reference information based on performance information

The Benefits

  • Shorten production lead time and reduce inventory / stock by presenting system-based all-process / line synchronized production plan
  • Improve supply responsiveness by linking short-term execution plans and securing visibility of mid- and long-term production plans.
  • Improved operational stability and efficiency through standardized production planning system

Case 4

A case study of implementation of CAPA-Simulator based on mid / long term demand and supply constraints

Target customer

Domestic semiconductor manufacturing company

Application Solution

THiRA Simulator

Coverage

DRAM, NAND, SSD, …etc
✓ Performed based on FAB full line and process / equipment
✓ Automatic generation of CAPA reference information based on performance information

The Challenge

  • Need to make decisions through fast simulation that reflects fluctuations in supply and demand constraints
  • Need to generate basic information and predict supply constraints for new products in the mid / long term
  • Need for generation of standardized CAPA constraint information and operation standards by process group manager

The Solution

  • Perform standardized simulation scenarios and constraint options and provide comparisons between versions (over and short of equipment and investment time / number of equipment / cost)
  • Automatically generate and reflect alternative reference information through staged comparison based on attribute level for new products
  • CAPA constraint information based on performance information (period weights, removal of outliers, representative / alternate values)

The Benefits

  • Investor decision-making based on objective results with fast simulation based on standard scenarios and constraint information
  • Improved accuracy of simulation results by improving the consistency of reference information for new products in the medium and long term
  • Improved operational stability and efficiency through standardized simulation system

Case 5

A case study of implementation of DP / S & OP to maximize resource efficiency based on customer’s real demand.

Target customer

Domestic auto parts enterprise

Application Solution

THiRA DCP

Coverage

Automotive Drive Division (Transmission)
✓ Establish a system for automatic conversion of company codes and integrated demand management based on real needs of customer products
✓ Provide various information and management functions for operating S & OP meetings

The Challenge

  • There is a need for an integrated acquisition and management system for various types of customer demand
  • Requires automatic conversion based on company BOM for demand information based on customer product code
  • History management system is needed to analyze and forecast actual demand from customers
  • System based operation through reference information system of demand / supply management

The Solution

  • Provides convenience of receiving / inputting and managing various types of demand based on system
  • Provides automatic product mapping function of company’s product code for demand by customer’s product code
  • Provide history management system about actual demand from customers

The Benefits

  • Support decision-making through system-based demand management and information-based S & OP meeting
  • Improve customer responsiveness by securing inventory and supply visibility based on actual demand from customers
  • Operational stability and efficiency improvement through standardized demand management and S & OP system

Reference

Detailed solution for supply chain management

THiRA
Planner

Production Plan

THiRA Scheduler

Work plan

THiRA
SCP

Supply plan

THiRA
DCP

Demand forecasting / Sales plan

THiRA
Optimizer

Optimization algorithm