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Center Projects

Inventory Planning System Development

Background information: Zojila is a company that focuses on home products – it designs, outsources manufacturing, holds inventory and uses a combination of direct shipment and ecommerce vendors to satisfy demand. It is a small business located in Lafayette Indiana. Based on discussions with the CEO, various specific questions have been identified that will be addressed by the proposed inventory planning system.

Goal: Develop an inventory planning system for Zojila to enable inventory planning i.e., triggering orders, revising to forecasts, adjusting to supplier changes, kitting etc. Such an inventory planning system will enable proactive inventory management that can enable growth for Zojila. All solutions developed will be implemented and used by Zojila and be driven by the specific products and supply chains used by Zojila.

Market Research for Business Development

Description of services, deliverables, and estimated completion date:

Client is looking to expand their industrial services and are working to align themselves with the Employment First initiatives that are being implemented across the U.S. The client is also seeking to increase and diversify their revenues to become less dependent on state and federal funding. JRDS would like to expand their contract packaging activities and develop advanced capabilities to do more than just manual hand-packaging work, mainly to improve the marketability of their services and to provide a higher level of technical training to their employees. JDRS is specifically looking for assistance with market research and business/marketing planning.

Financial Analysis and Process Improvement, Premier Auto DetailingPremier Auto Detailing

Student Team: Joey Meisberger, Taylor Haws, Matt Jung, Gisela Condado, Pablo Martinez, Akshit Bajpai

Advisor: Steven Dunlop

Project Description: Premier Auto Detailing was established in 2003, and is a local car wash and detailing facility located in Lafayette, Indiana. Premier Auto Detailing services both local businesses and the greater Lafayette community. Premier Auto Detailing partnered with the Dauch Center to obtain an improved understanding of their current financial situation and to obtain innovative ways to improve their current operational processes. The financial analysis intended to guide management from Premier Auto Detailing to identify potential problems in their accounting and managerial systems, and the process improvement analysis was intended to find areas of improvement within their operational processes as well as to address any issues that their management team brought up. Multiple cost saving and process improvements were recommended to Premier Auto Detailing, including reducing their number of magazine subscriptions, imposing caps on some of their monthly expenses, implementing a vehicle classification system, and including a web based self-check in on their website. If Premier Auto Detailing implements some of these recommendations, we believe that they will see direct benefits from these cost saving and process improvement measures. This will be an ongoing collaboration between Premier Auto Detailing and the Dauch Center.

Intermodal Analysis, Caterpillar  (2014-2015)

Student Team: Xinlan Fang, Priyanka Govindraj, Luojing Liu, Yunyang Liu, Junchao Yang

Faculty Advisor: Amy David

Project Description: Students fromA the Fall 2014 Experiential Learning course in Operations Management analyzed various transportation options for inbound shipments to Caterpillar’s Lafayette location. The team developed an algorithm to find the volume breakpoint for rail transportation from each key supplier and further investigated both the feasibility and environmental impact of rail transportation.

Accessories Product Chain Improvement, Allegion  (2014-2015)

Student Team: Leo Fu, Dongfang Wu, Jennifer Lu, Yang Liu

Faculty Advisor: Amy David

Project Description: The student team was tasked with improving lead times for finished goods in the “accessories” category. The team first analyzed the product chains to identify components with long lead times, prioritizing those with the largest dependent demand quantities. They then recommended inventory policy and sourcing changes to alleviate the issues identified.

Supply Chain Improvement, Allegion (2013-2014)

Student Team: Ji Lei, Pengyu (Peter) Zhai, Meng-i (Nathan) Chou, Juan Jose Guerrero

Faculty Advisor: Sang-Phil Kim

Project Description: Allegion, an international company, focuses on manufacturing security products and providing security solution for homes and business. It is made up of 27 global brands including CISA, Interflex, LCN, Schlage and Von Duprin. The $2 billion company employs around 8000 people and sells products in more than 120 countries across the world. Confronted with the fact that market and product grow fast, it has become critical to consider how to continuously decrease cost. In this project, the team implemented a clustering algorithm to identify the opportunities to consolidate the screw packs. They also conducted make/buy analysis to seek opportunities to decrease cost.

Warehouse Optimization Project, Caterpillar (2013-2014)

Student Team: Yoshitake Tajima, Meng Zhang, Qi Zhang

Faculty Advisor: Sang-Phil Kim

Project Description: Caterpillar Inc. is an American corporation which designs, manufacturers, markets and sells machinery and engines and sells financial products and insurance to customers via a worldwide dealer network. Caterpillar Inc. traces its origins to the 1925 merger of the Holt Manufacturing Company and the C. L. Best Tractor Company, creating a new entity: the California based Caterpillar Tractor Company. In 1986, the company re-organized itself as a Delaware corporation under the current name —Caterpillar Inc. Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. With more than US$89 billion in assets, Caterpillar was ranked number one in its industry and number 44 overall in the 2009 Fortune 500. The Caterpillar manufacturing plant in Lafayette, Indiana was opened in 1982, and has since become the company’s main source for medium-speed diesel engines for marine, petroleum, electric power, locomotive and industrial applications.  Producing Caterpillar’s most well recognized and durable engines, the 3500 and 3600/C175 series engines, the Lafayette Engine Center now consists of 1.3 million square feet (123,000 square meters).

Caterpillar Inc. eliminated one of the three logistics buildings within Lafayette area a month ago. The current local logistics warehouse structure supporting production is made up of two logistics building called VMPE and 30th ST. This project developed an algorithm and process to evaluate the most cost efficient storage location and resulting local shuttle routes to maximize shuttle usage while supporting build needs. The team established a dynamic model for consolidating the production inventory into two of the warehouses, which includes three potential reallocation policies that could be selected in the light of changing demand. 

Supply Chain Strategies, The Chao Center

Student team: : Bin Gao (MSGSCM 2013), Sai Gao (MSGSCM 2013), Angelica Rodriquez, Yanbing Shi (MSGSCM 2013)

Faculty Advisor: Julia Kalish

Project Description: The Chao Center is located in West Lafayette, Indiana, within the Purdue Research Park. It is the only facility approved by the Food and Drug Administration (FDA) to manufacture and market Seromycin®, a lifesaving treatment for Multidrug-Resistant Tuberculosis (MDR-TB). Currently, the Chao Center is facing several challenges regarding the sales of Seromycin®; sales have been dropping during the past several years due to competitors with lower prices and a reduction in the number of TB cases. In order to increase their market share, the Chao Center needs to reduce their selling price to compete with the rest of the market. Team members Bin Gao, Sai Gao, Angelica Rodriguez, and Yanbing Shi from Purdue University’s Global Supply Chain Management program assisted the Chao Center in tackling these issues. The team analyzed several cost components for the Seromycin® capsules along with the Chao Center’s current supply chain strategies to identify opportunities for improvements in those areas. Optimization of the Chao Center’s supply chain, consequently reducing cost, was recommended by the Purdue team. Specifi cally, this included stabilizing the customer demand to minimize the risk due to demand uncertainty; ordering the amount of raw materials required to meet the customer demand; switching to a diff erent transportation method for raw materials; and negotiating with third parties to split the transportation cost. Finally, the plan included optimizing the truck capacity by changing the shipping load units. For the cost analysis, the team used past sales data for Seromycin® to forecast next year sales and to determine diff erent demand scenarios. Afterwards, diff erent alternatives were developed to compare the total cost per capsule for each of the demand scenarios. The analysis showed that total cost per capsule dropped signifi cantly with changes in negotiation contracts, which attests to ordering raw materials according to the demand forecast instead of purchasing the minimum order quantities required from the suppliers. Furthermore, the cost per capsule can be reduced by sharing truck capacity with third parties and in turn splitting transportation costs. This demonstrates the importance of how supply chain strategies can impact the overall cost of the product, and consequently, the customer demand for that product since the Chao Center will be able to have the same price, or even a lower price than its competitors which can potentially improve their sales for Seromycin®.

Pareto Carries Based on Shipping Times, CaterpillarFaculty student directed projects group

Student team: Saurabh Arora (MBA 2013), Yipin Lu (MBA 2013), Debdeep Roy (MBA 2013), Jing Zhao (MBA 2013)

Faculty Advisor: Qi Annabelle Feng

Project Description: Caterpillar Inc. also known as "CAT" is an American corporation which designs, manufactures, markets and sells machinery and engines and sells financial products and insurance to customers via a worldwide dealer network. Caterpillar is the world's largest manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines. With more than US$70 billion in assets, Caterpillar was ranked number one in its industry and number 44 overall in the 2009 Fortune 500. Caterpillar stock is a component of the Dow Jones Industrial Average. Caterpillar Inc. traces its origins to the 1925 merger of the Holt Manufacturing Company and the C. L. Best Tractor Company, creating a new entity; the California based Caterpillar Tractor Company. In 1986, the company re-organized itself as a Delaware corporation under the current name; Caterpillar Inc. Caterpillar's headquarters are located in Peoria, Illinois, United States.

The objective was also to understand the inefficiencies in the supplier network, and to lay out a plan to optimize supplier-shipping network. Based on the information gathered, the optimized network would give rise to higher efficiency. The team worked together to understand the root causes and possible impacts. They collaborated with multiple departments in Caterpillar Lafayette factory, and acquired significant amount of data on transportation times, and routes. They also quantified various areas of concern along with the impacts. After several iterations and modeling exercises, high impact areas were identified, including (1) segments/carriers that caused production schedule disruption due to deviation from the estimated delivery time and (2) specific legs that has variability, since the uncertainty hindered efficient planning, therefore increased costs in multiple areas.

Order Consolidation, Ingersoll Rand

Faculty student directed projects group 2

Student team: KofoAdafin(MBA 2013), Shikhar Agarwal(MBA 2013), Xiaosi Fu(MBA 2013), Pradeep Nallabelli(MBA 2013), Rohan Vohra(MBA 2013)

Faculty Advisor: Qi Annabelle Feng

Project Description: The Ingersoll Rand order consolidation project was created to determine a solution to improve the order consolidation efforts between the various manufacturing sites for the Security-Technologies division in North America. Customers did not want to receive a single order in multiple shipments all arriving on different days. The focus of the project is to analyze several alternatives that would improve or eliminate the problem.

  • Use warehousing to receive goods from different manufacturing sites, and ship completed order
  • Use coordination of ERP systems for scheduling of productions so finished goods from different manufacturing sites arrive to the customer on the same day.
  • Use cross docking and milk runs to consolidate orders when they are ready for delivery.