Biswajit Sarkar

Management Information Systems · 2013–2020

A researcher in the Science corpus: 13 papers; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Biswajit Sarkar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hesham K. Alfares
  2. Liang-Yuh Ouyang
  3. Suresh Kumar Goyal
  4. Leopoldo Eduardo Cárdenas-Barrón
  5. Yu-Jen Lin
  6. Kun-Shan Wu
  7. Bibhas Chandra Giri
  8. Hui-Ming Wee
  9. Ioannis Konstantaras
  10. Yung-Fu Huang

Who trusts Biswajit Sarkar overall

  1. Maryam Ghoreishi
  2. Arunava Majumder
  3. Abolfazl Mirzazadeh
  4. Mitali Sarkar
  5. Ata Allah Taleizadeh
  6. Sumon Sarkar
  7. Gerhard-Wilhelm Weber
  8. Soheyl Khalilpourazari
  9. Shilpi Pal
  10. Bikash Koli Dey

Papers from Biswajit Sarkar's perspective

Ordered by how strongly the researchers Biswajit Sarkar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The economic production quantity (EPQ) with shortage derived algebraically
  2. Recent trends in modeling of deteriorating inventory (European Journal of Operational Research)
  3. Retailer's pricing, credit and inventory policies for deteriorating items in response to temporary price/credit incentives
  4. An inventory model with deteriorating items under inflation when a delay in payment is permissible
  5. A minimax distribution free procedure for mixed inventory models involving variable lead time with fuzzy lost sales
  6. Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time
  7. An EOQ Model for Items with Weibull Distribution Deterioration (IEEE Conference on Industrial Electronics and Applications)
  8. Inventory model with stock-level dependent demand rate and variable holding cost
  9. Production, Manufacturing and Logistics Economic order quantity under conditionally permissible delay in payments
  10. An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging

Their papers