## Paper 1: Planning and control in agri-food supply chains
**Authors:** Cramer, M., Transchel, S.
**Year:** 2024
**Venue:** *Unknown (Book Chapter implied by "This chapter explores...")*
**DOI:** [10.19103/as.2023.0122.11](https://doi.org/10.19103/as.2023.0122.11)
**Citations:** N/A (Recent publication)

### Research Question
How can planning and control processes in agri-food supply chains (AFSC) be optimized to address specific challenges such as product perishability, sustainability transitions, and food security? The paper addresses the need for decision-making support in an environment more complex than durable goods supply chains.

### Methodology
- **Design:** Comprehensive Literature Review and Conceptual Framework.
- **Approach:** The authors utilize techniques from Operations Management (OM) and quantitative methods from Operations Research and Management Science (OR/MS).
- **Scope:** The analysis spans the entire supply chain, focusing on key planning elements including forecasting, production, and inventory planning.

### Key Findings
1. **Complexity Differential:** The authors establish that AFSC planning is significantly more challenging than durable goods due to the "perishable nature of the sensitivity of agri-food products."
2. **Resilience vs. Sustainability:** The paper identifies a dual-pressure environment where managers must simultaneously facilitate a "transition to more sustainable food systems" while "securing food security by strengthening resilience."
3. **Quantitative Necessity:** Effective management of these chains requires specific quantitative building blocks rather than generic management strategies.

### Implications
This work provides a theoretical basis for developing specialized planning tools for the food sector. It implies that standard ERP (Enterprise Resource Planning) systems designed for durable goods may be insufficient for agri-food contexts without modification for perishability and resilience constraints.

### Limitations
- **Format:** As a book chapter/review, it may lack new empirical data, relying instead on synthesizing existing models.
- **Specificity:** The abstract suggests a broad overview ("briefly highlighting relevant building blocks") rather than a deep dive into a single algorithm.

### Notable Citations
- *Note: Citations within this text were not provided in the input snippet, but the text references "techniques from operations management."*

### Relevance to Your Research
**Score:** ⭐⭐⭐⭐⭐ (5/5)
**Why:** This is a highly relevant, current (2024) source regarding supply chain optimization. It directly addresses the intersection of sustainability and operations research.

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