フェアウェイソリューションズ List of Products and Services

【Challenges Before Implementation】 ■ Unable to break away from reliance on human intuition and experience ■ Stockout and excess inventory figures have not improved for 20 years ■ Multiple Excel sheets are present, leading to individual dependency ■ Data updates are time-consuming and mistakes occur frequently 【Countermeasures and Implementation Effects】 ■ Successfully reduced approximately 570 hours annually by replacing Excel operations with φ-Pilot ■ Able to anticipate inventory anomalies through alerts, resulting in a reduction of about 40% in expired product losses and approximately 60% in stockout rates compared to the previous year ■ Real-time information sharing has led to a reduction of about 20% in sudden changes to factory plans ■ Improved communication between departments through information sharing has facilitated smoother business collaboration

• Production Management System
• Purchasing Management System
• Other production management systems

The Φ-Pilot Series is an SCM solution that identifies daily changes in supply and demand balance anomalies after the PSI planning phase, calculates and shares future inventory balances, and supports rapid supply and demand adjustments with relevant departments, appropriate production and ordering, and suitable inventory distribution across multiple inventory locations. (For more details, please refer to the related links.) 【Features】 ● Covers all necessary functions for proper control of planned inventory from PSI planning to inventory allocation. ● Emphasizes the discovery and countermeasures for supply and demand balance anomalies, achieving quick responses for supply and demand adjustments. ● Clarifies ambiguous operations by comparing current operations with standard business models, enabling speedy and reliable implementation. The Φ-Pilot Series predicts "how much inventory will be needed at what point in the future" by considering factors such as shipping forecasts and constraints in transportation and procurement, calculates appropriate replenishment quantities, and aims to automate business processes that can be optimized as much as possible. It supports information sharing and business linkage with relevant departments, as well as human judgment tasks through alert and simulation functions, implementing the most practical balance of functionalities. There are numerous case studies demonstrating the creation of value through inventory optimization, cost reduction, sales expansion contributions, and work style reforms.

• Production Management System

The Φ-Pilot Series is a control tower solution for supply and demand management that identifies abnormalities in the supply-demand balance of future inventory, which changes daily after the PSI planning, calculates and shares information on future inventory balance, and supports rapid supply-demand adjustments with relevant departments, appropriate production and ordering, and proper inventory distribution to multiple inventory locations, acting as a "bridge between factories and customers." **Features** - Covers all necessary functions for proper control of future inventory from PSI planning to inventory allocation. - Emphasizes the discovery and countermeasures for supply-demand balance abnormalities, achieving quick responses for supply-demand adjustments. - Clarifies ambiguous operations by comparing current operations with standard business models, enabling speedy and reliable implementation. The Φ-Pilot Series predicts "how much inventory will be needed at any point in the future" by considering demand forecasts and constraints related to transportation and procurement, calculates the appropriate replenishment amount, and aims to automate business processes that can be optimized as much as possible. It supports information sharing and business linkage with relevant departments, as well as human judgment, through alert and simulation functions, implementing the most practical balance of functionalities. There are numerous case studies demonstrating value creation in areas such as inventory optimization, cost reduction, sales expansion contribution, and work style reform.

• Production Management System

Would you like to enhance your business competitiveness with 'smart' solutions? Many companies spend a significant amount of time and money when implementing large-scale systems, and it is often unclear whether these systems possess the truly necessary functions. We strongly felt the need to address this issue and pursued the optimal system implementation model that we can develop together with our clients to realize their vision. By adopting only the carefully selected necessary modules, we eliminate unnecessary costs and functions. We devised a method to start with basic functions and add necessary features later, thereby avoiding wasteful investments. Furthermore, through a model comparison method, we design clear business processes together with our clients. This approach allows us to shorten the time for requirements definition and enhance certainty. Additionally, pre-operational checks before the smart implementation enable our clients to adopt the system with confidence. Our ultimate goal is for our clients to quickly integrate the new system into their business and immediately experience its value. We always aspire to fulfill our role as a true business partner. The smart implementation initiative was born from this philosophy.

• Purchasing Management System

Centralize the information for PSI management from sales planning to material ordering, and establish a one-stop operational system. 【Challenges Before Implementation】 - As the number of product items increased, the workload also grew, making efficiency a challenge. - The ordering process had become a subjective task using Excel, making it difficult to perform without experienced employees. - Materials were ordered regardless of the production plan, leading to excessive inventory of materials. 【Countermeasures and Implementation Effects】 - We were able to manage everything from sales planning to product and material ordering in a streamlined manner, significantly improving operational efficiency. - New employees can now immediately engage in order consideration tasks, making the handover of duties smoother. - By understanding the timing and quantity of material orders in accordance with the production plan, unnecessary orders have decreased, and excess inventory of materials has been reduced to nearly zero.

• Purchasing Management System

Controlling the balance of supply and demand that changed during the COVID-19 pandemic [Challenges Before Implementation] - Veteran employees were relying heavily on Excel to perform their tasks, depending entirely on individual discretion. - Due to high workload and lack of time, there was insufficient opportunity to review and adjust production plans. - Information sharing (visualization) and consensus building between the sales and production departments were inadequate. [Countermeasures and Implementation Effects] - Successful standardization of operations through smart implementation using standard package features allowed us to discard the previously used Excel and eliminate reliance on individuals. - We were able to start full-scale operations aimed at reducing work time by 60%. - Coordination tasks between the sales and production departments were facilitated through Φ-Pilot, enabling smooth business collaboration.

• Purchasing Management System

Improving demand and supply planning backed by data and inter-departmental collaboration with Φ-Pilot 【Challenges Before Implementation】 ◼ The main tasks involved collecting and processing information from multiple Excel files and core systems. ◼ With a wide variety of low-volume products and inspection items, time spent on information gathering led to insufficient checks for stockouts. ◼ The work was left to individual staff members, resulting in stockouts and losses due to varying levels of capability. ◼ There was a need for a system to centralize information so that departments could communicate using the same data. 【Countermeasures and Implementation Effects】 ◼ Excel processing tasks were eliminated, allowing focus on demand and supply operations. ◼ Inventory and shipping statuses were clearly displayed, enabling quick decision-making and detailed inspections, significantly improving the quality of demand and supply management. ◼ Standardizing information display in Φ-Pilot allowed for consistent operations even during staff changes. ◼ Coordination with marketing and sales could now be based on concrete numbers, enhancing operational efficiency. This led to smoother adjustments for new products and responses to stockouts.

• Purchasing Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Fujifilm Revio Co., Ltd. Creating supply and demand management materials using spreadsheet software requires an enormous amount of effort, and it has become urgent to improve operational efficiency and eliminate reliance on specific individuals. The lack of transparency in supply and demand information among the sales, planning, manufacturing, and logistics departments was a challenge, and we began considering the introduction of a "supply and demand management system that can manage inventory by expiration date and lot" to improve management accuracy, reduce labor, eliminate reliance on specific individuals, and minimize the risks of stockouts and waste. The concept of the Φ-Pilot Series, which allows for "flexible system construction by combining necessary modules," matched our needs for systematizing the complex supply and demand management operations, and the feasibility of the proposed content was the highest, leading to its selection. It now functions as an information infrastructure used by approximately 100 people in total. About six months after the system was implemented, we achieved a "50% reduction in work hours (140 hours/month saved)" and reached the "minimum stockouts/waste in the past five years." Moving forward, we will continue to promote the "advancement, efficiency, and acceleration" of operations as a "control tower for supply and demand management."

• Production Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Fuji Oil Co., Ltd. Previously, each warehouse had personnel performing inventory replenishment tasks, which meant that as the number of warehouses increased, so did the labor costs. The more warehouses there were, the more difficult it became to control the inventory balance between them. By using a method to distribute the optimal amount of inventory from the upper warehouses to the lower warehouses, we were able to achieve both labor reduction and optimal inventory balance among the lower warehouses simultaneously, resulting in approximately 40% labor savings. Additionally, the introduction of the Φ-Pilot facilitated standardization, allowing for flexibility in business delegation during vacations and job rotations, ultimately achieving 100% telework and work style reform.

• Production Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Fuji Oil Co., Ltd. The inventory replenishment for customer-designated warehouses (VMI) was reliant on individual sales representatives using Excel and other tools, resulting in inconsistent formats and procedures, leading to a business style dependent on individuals. This made it difficult to increase the number of customer-designated warehouses handled. In a previous logistics department project, we had established a system for optimal inventory placement among major warehouses through the introduction of Φ-Pilot. Therefore, we aimed to understand the actual demand for customer-designated warehouses and optimize VMI warehouse inventory replenishment using Φ-Pilot. As a result, sales representatives were able to focus on their core sales activities. Additionally, inventory placement at major warehouses became more accurate, bringing us closer to building a more advanced supply chain and a sustainable logistics system.

• Production Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Bourbon Co., Ltd. The demand (shipment) forecasting process had become complex, and the calculation of production requirements was primarily done manually, which took a lot of time and effort. By using an implementation method that customizes only the necessary parts based on a package model, we were able to reliably operate an information infrastructure that consolidates production and sales information, such as shipment forecasting calculations and production requirement calculations, in a short period of time, achieving standardization and automation of operations. As a result, we were able to reduce the labor hours for production planning by about half compared to before the implementation.

• Production Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Tarami Co., Ltd. Demand forecasting, production planning, and product inventory information were managed in fragments using Excel in each department, making it difficult to quickly reference necessary information. This resulted in challenges in predicting future inventory and visibility was limited to recent inventory levels, leading to risks of excess and stagnant inventory as well as potential future stockouts. With the centralization of PSI management information (data), the sales department found it easier to check inventory status and shipment forecasts, which improved the accuracy of demand forecasting and eliminated unnecessary manual work in the production department. The logistics department also found it easier to manage transfer plans, inventory adjustments, and the acceptable limits for expiration dates. In particular, amidst a very large number of products, it became possible to identify alerts for future excess and stockouts, reducing the burden of high-accuracy PSI planning and supply-demand adjustments, and overall, the input workload was reduced to less than 60%.

• Production Management System
• Purchasing Management System
• Other production management systems

To Uka Corporation, we would like to introduce a case study of the implementation of the "Φ-Pilot Series." Previously, the dynamics of future inventory monitoring and order decision-making were based on the experience of the responsible personnel, making it difficult for others to understand whether the approach was appropriate or not. After the introduction of our product, standardization of operations progressed, enabling information sharing and division of labor within the logistics team, and facilitating active exchange of opinions. [Case Overview] ■Challenges - Significant time and effort were required for preparation before entering the order decision-making process. - Order mistakes occurred, and issues with inventory shortages and surpluses also arose. ■Implementation Effects - Automating the acquisition and aggregation of necessary data significantly improved operational efficiency. - By establishing standard ordering criteria and control standards for future inventory, it became possible to maintain appropriate inventory levels.

• Production Management System

We would like to introduce a case study of the implementation of the "Φ-Pilot Series" at Seiko Time Lab Co., Ltd. Previously, demand forecasting was merely an extension of simple average shipment volumes, which led to risks of stockouts and excess inventory during peak demand periods throughout the year. After the introduction of our product, we successfully standardized operations, enabling smooth handovers between order managers. The accuracy of demand forecasting improved, making it easier to maintain appropriate inventory levels. Visualization and sharing among team members enhanced the quality of meetings, resulting in shorter meeting times and easier decision-making for orders. [Case Overview] ■ Challenges - Each product category was managed by individuals relying on their experience for ordering, leading to a lack of standardization. ■ Implementation Effects - Successful standardization of operations. - Smooth handovers between order managers became possible. - The style of ordering meetings dramatically changed.

• Production Management System

To Toinaga Trading Co., Ltd., we would like to introduce a case study of the implementation of the "Φ-Pilot Series." It has become difficult to manage inventory control for products with different shipping deadlines for each manufacturing lot using only Excel. As a result, delays in noticing issues led to losses due to expired shipping deadlines, as well as the risk of stockouts. With our product's expiration date monitoring system, we successfully detected products that were likely to expire in the future early on and took proactive measures, resulting in approximately a 30% reduction in losses. [Case Summary] ■Challenges - Losses due to expired shipping deadlines - Risk of stockouts ■Implementation Effects - Successfully reduced losses by approximately 30% - Stockouts have almost ceased to occur

• Production Management System

【Feature 1】Maximizing Order Response Capability [Arrangement Simulation] - Instantly calculates all possible arrangement methods, including inventory from multiple warehouses, expected arrivals, substitutes, and suppliers, in response to order requests, providing navigation for feasible delivery methods. - Avoids missing sales opportunities due to stock shortages when orders come in, while keeping inventory to a minimum. 【Feature 2】Enabling High-Quality Operations for Anyone [Automation/Semi-Automation of Arrangements] ● User-Friendly Screen Design - Allows for instant understanding of the situation and enables optimal decision-making and execution of arrangements for shipping, horizontal transfers, ordering, etc. ● Detailed Business Scenarios - Implements detailed business scenarios for all possible cases that may arise in operations. - Φ-Conductor navigates "what to do next," allowing personnel to make rational and optimal decisions and instructions. 【Feature 3】Advanced Inventory Allocation Engine Responding to Dynamic Changes - Capable of handling complex inventory attributes and time-sensitive allocation tasks requiring time management. - Resolves the complexity and confusion in operations caused by variations in "usable inventory" for the same product due to factors such as expiration dates, customer-specific inventory, and origin specifications.

• Sales Management
• ERP Package
• Production Management System

We would like to introduce our DX era order arrangement automation system, 'Φ-Conductor.' Are you facing challenges with inventory allocation for order requests, handling shortages caused by troubles, or systematizing irregular processing tasks? By systematizing and automating the order execution tasks integrated with arrangement simulation, staff can focus on decision-making tasks, including irregular responses, leading to expected benefits such as labor savings, effective inventory utilization, reduced logistics costs, and improved customer satisfaction. [For such concerns] ■ Automation of allocation by expiration date and lot for perishable goods ■ Automation of allocation and distribution for scarce items ■ Inventory allocation for order requests and handling shortages caused by troubles ■ Systematization of irregular processing tasks *For more details, please refer to the PDF document or feel free to contact us.

• Production Management System
• Purchasing Management System
• ERP Package

Table of Contents 1 1. The Necessity of Automating and Enhancing Sales and Logistics Operations for the DX Era ● Current Issues (Negative Effects of Order Management Operations Due to Constraints of Existing Core Systems) ● Key Factors Required for Business Operations in the DX Era 2. Visualization of Business Operations ● Ideal State of Sales and Logistics Operations ● Support for Maintaining Daily Operational Quality in Sales and Logistics ● Improvement Activities for Operational Quality ● Direction for Systematizing Sales and Logistics Operations for the DX Era 3. Digitalization of Analog Operations ● Representative Challenges ● Digitalization of Operational Information ● Ripple Effects of Digitalizing Operational Information 4. Visualization of the Flow of Goods ● Examples and Issues of Irregular Processing that Occur Daily ● "Visualization of the Flow of Goods" as the Foundation for Sales and Logistics Operations in the DX Era

• Sales Management
• ERP Package
• Production Management System

We would like to introduce a case study of the implementation of "Φ-Conductor" at Yoshinoya Holdings Co., Ltd. Due to the vertical system environment at the business company level, such as "Yoshinoya" and "Hanamaru," where inventory, logistics, and distribution systems are operated individually, the efficiency of logistics across the entire group was hindered. After the introduction of our product, a foundation for joint management and joint delivery was established by centrally managing the precise inventory of multiple businesses and brands, and the unification of logistics information for traceability was also achieved. [Case Overview] ■ Challenges - Standardization of business processes - Standardization/centralization of masters - Support for precise allocation and arrangement operations ■ Implementation Effects - Integration of business systems across multiple businesses, achieving significant reduction in system costs - Standardization of complex operational tasks for each externally contracted delivery center - Integration of system infrastructure, built in a cloud environment *For more details, please refer to the PDF document or feel free to contact us.

• Production Management System
• Purchasing Management System
• ERP Package

We would like to introduce a case study of the implementation of "Φ-Conductor" at a major general retail product procurement company. "We have established an order and allocation system capable of handling all fresh imported products (raw materials, semi-finished products, and finished products in agriculture, livestock, fisheries, and floriculture)." 【Case Overview】 ■Challenges - The fresh imported goods division handles agricultural, livestock, and fishery products, and due to the differing inventory management and allocation methods for each product, operations have become complex, relying on Excel and fax. - With Excel management as the primary method and information exchange via fax, human errors frequently occurred, and the volume of paper output was significant. - When seasonal demand temporarily increased the workload, additional personnel were hired to cope. ■Implementation Effects ● The new system allows for optimal allocation simulations based on the situation, significantly improving work efficiency by enabling a consistent process up to the confirmation of shipping instructions. ● The reallocation of inventory and shipping adjustment tasks have been semi-automated through a scheduling simulation function. ● By web-enabling requests to related companies, we achieved a paperless environment. ● Even during busy periods or when transactions increased, we were able to manage with the current staff. *For more details, please refer to the PDF document or feel free to contact us.

• ERP Package
• Sales Management
• Production Management System