Reference health

A Model for Decision-Making to Parameterizing Demand Driven Material Requirement Planning Using Deep Reinforcement Learning

https://doi.org/10.2139/ssrn.4605297
CiteStamped reference-health badge
8/8 checkable references clean · checked 2026-08-05

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

17 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 8 checked references that resolve
resolves10.1016/j.bushor.2014.01.001
What a difference a word makes: Understanding threats to performance in a VUCA world
resolves10.14445/22315381/IJETT-V71I3P205
The Demand Driven MRP Implementation in Complex Manufacturing Industries: A Systematic Literature Reviews
resolves10.1080/00207543.2019.1650978
Applicability of Demand-Driven MRP in a complex manufacturing environment
resolves10.1016/j.cie.2022.108769
A first MILP model for the parameterization of Demand-Driven MRP
resolves10.4271/05-16-01-0001
Integration Model for Demand-Driven Material Requirement Planning and Industry 4.0
resolves10.1007/s10845-022-01982-5
Hybrid algorithm based on reinforcement learning for smart inventory management
resolves10.1080/12507970.2018.1547130
Compréhension du DDMRP et de son adoption : premiers éléments empiriques
resolves10.1038/nature24270
Mastering the game of Go without human knowledge
The 17 references without a DOI — listed, not checked
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedDemand driven material requirements planning (Ddmrp): A systematic review and classification
no DOI — not checkedref6
no DOI — not checkedMaterial Management without Forecasting: From MRP to Demand Driven MRP
no DOI — not checkedParameterisation of demand-driven material requirements planning: a multi-objective genetic algorithm
no DOI — not checkedParametrization of a demand-driven operating model using reinforcement learning
no DOI — not checkedA Mathematical Safety Stock Model for DDMRP Inventory Replenishment
no DOI — not checkedref14
no DOI — not checkedDeep Reinforcement Learning for Inventory Control: A Roadmap
no DOI — not checkedReinforcement learning applied to production planning and control
no DOI — not checkedref19
no DOI — not checkedref20
no DOI — not checkedref21
no DOI — not checkedDeep Reinforcement Learning: An Overview
no DOI — not checkedref24
no DOI — not checkedref25
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-05 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.2139/ssrn.4605297"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4605297/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.4605297/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.4605297)