Sanchoy Das is professor of industrial engineering at the New Jersey Institute of Technology, where he teaches supply chain engineering and logistics modeling. He received his PhD from Virginia Tech. His research passion is supply chains — that remarkable cocktail of logistics, engineering, business operations management and data driven technology that brings products and services to our doorstep. He has published numerous research articles on the topic and his research investigates how companies are developing and pivoting the supply chains to meet the needs of fast fulfillment.
Areas of Expertise (8)
Business Operations Management
Healthcare Systems Engineering
Fast Fulfillment Supply Chains
Analytics Application Models
Logistics and Engineering
Data Driven Technology
Virginia Polytechnic Institute and State University: Ph.D., Industrial Engineering & Operations Research 1988
Virginia Polytechnic Institute and State University: M.S. 1985
University of Science and Technology (Ghana): B.S. 1982
Media Appearances (5)
Consumers wait or pay more as businesses wrestle supply chain woes
The Atlanta Journal-Constitution online
The shorter and simpler the chain, the quicker it will adapt, said Sanchoy Das, supply chain expert at the New Jersey Institute of Technology. “Lumber is a good example. Prices jumped but are now closer to normal.” But chains reaching to Asia are more complex, he said. “Christmas could be a challenge.”
Medically Necessary: The enormous challenge of scaling up global vaccine production
Freight Waves online
Sanchoy Das, a supply chain researcher at the New Jersey Institute of Technology, said he’s not optimistic about this kind of international cooperation in the immediate future while many materials are still in short supply. “When there is sufficient supply everyone is willing to shake hands,” he told FreightWaves. “We can have WHO … manage the supply so that we can all benefit. Right now when we have a shortage of supply, all kinds of national borders, political borders kick in.”
'Disaster is looming' in Pennsylvania election
Courier Times online
Sanchoy Das is an expert on U.S. Postal Service supply chain dynamics and a professor of mechanical and industrial engineering at the New Jersey Institute of Technology. Das has little doubt that the U.S. Postal Service can deliver millions of mail-in ballots because it deals with high-volume events every holiday season. The only problem is voter procrastination. "If there is a huge surge in the number of mail-in ballots, then there is a risk that the U.S. Postal Service could get stressed out, particularly if a large number of people cast that mail-in ballot at the last possible moment," said Das.
Scared and Sick, U.S. Meat Workers Crowd Into Reopened Plants
Bloomberg Law online
To allow for proper social distancing, production should be running at a much lower rate, possibly just one third of normal, according to Sanchoy Das, a professor at the New Jersey Institute of Technology, where his research focuses primarily on supply chain modeling and analysis.
Five factors to watch in the meat supply chain crisis
The Hill online
Sanchoy Das, professor of engineering at the New Jersey Institute of Technology, said the easiest solution for plants is to socially distance workers by spacing them further apart, which will inevitably lead to a decrease in production. “Even if they do open, it will probably be at a much lower capacity if they are going to try to socially distance inside the plants,” he told The Hill in a recent interview.
Johnson & Johnson's vaccine has some unique features that make it the single best tool for ending the pandemicBusiness Insider
2021 In years to come, the COVID-19 vaccination rollout will be seen as a historic effort between the public and private sector, but for now, the Biden administration and states have their work cut out for them. Vaccinating an entire country is no easy feat; it requires coordinated planning between manufacturers and distributors. And a successful rollout can occur only with a strong, transparent supply chain. The logistical requirements for production and the increased public demand for timely vaccinations are at an unprecedented scale, but the approval of the Johnson & Johnson vaccine may be the jolt this effort needs.
The dynamic stocking location problem – Dispersing inventory in fulfillment warehouses with explosive storageInternational Journal of Production Economics
Jingran Zhang, Sevilay Onal, Sanchoy Das
2020 Online order fulfillment warehouses (F-Warehouses) are a critical component of the physical internet. F-Warehouses convert online customer orders into physical delivery packages with an operational goal of fast fulfillment. Structurally F-Warehouses are unlike traditional warehouses and key differentiators are, a very large number of small bin locations, an explosive storage policy, and commingled bin storage. In explosive storage, an incoming bulk is separated into small lots which can be stocked in any bin throughout the warehouse. s orders flow in, this inventory dispersion increases the probability that a picker can locate multiple ordered items within a short distance. The dynamic stocking decision then is, where to stock the arriving inventory lots, such that picking algorithms can generate more efficient picklists and achieve the fast fulfillment goal. [...]
An objective model for collaborative flight scheduling in a single mega-hub networkTransportation Planning and Technology
Sufian Ikhmeis, Sanchoy Das
2020 Single mega-hub (SMH) airports are among the highest passenger volume airports in the world. Eight operational features that distinguish an SMH airport are identified, including collaborative flight scheduling between the airline and airport. This paper develops an objective function to direct collaborative flight scheduling. Three cost objectives are modeled, each of which focusses on a specific variable cost to the airport: passenger waiting time, passenger volume in the terminal, and ground activity imbalance. The scheduling objective is modeled as a function of (i) waiting time for each passenger, (ii) passenger count in the airport terminal, and (iii) the ground activity peak deviation from the balanced rate. Model application is demonstrated on the schedule of an airline operating 184 daily departures from a SMH. Results show the model can be used to reduce the airport’s variable costs. Rescheduling departure times for 6.5% of flights generated a 2.8% cost reduction.