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MAS Holdings

Executive - Planning

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Sri Lanka
Junior
In-Office or Remote
Hiring Remotely in Sri Lanka
Junior
Prepare weekly sewing, cutting and production plans for plant modules; allocate capacity, monitor raw material and embellishment constraints, run weekly production reviews, coordinate with operations, sourcing and PCU, and implement action plans to meet delivery dates and optimize production efficiency.
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Executive ‐ Planning

(BASED AT ACTIVEWEAR - BIYAGAMA)

 

The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong focus on innovation, MAS is advancing wearable technology that tracks fitness and workout analytics while blending advanced sportswear with fashion and aesthetic appeal. 
Operating across Sri Lanka, Jordan and Indonesia, and with development centres in Sri Lanka and Canada, Activewear serves a global customer base that includes Nike, lululemon, Patagonia, and Gymshark. The Activewear product range offers diverse solutions such as Knit, Fleece, Tees, Woven, Sweaters, Engineered Knit.
As a unified platform, the Activewear Value Stream combines global scale, speed and technical expertise, positioning MAS as a trusted partner for innovative, performance and lifestyle apparel.  

 

Empower transformation by becoming a driving force of change at MAS. We are on the lookout for a dedicated individual to prepare weekly sewing plans for a section of modules in a plant along with cutting, pre-production & RM call-out plans for the plant, based on the raw material & production updates, engaging with operations team, sourcing team and PCU team.

 

KEY RESPONSIBILITIES

 

  • Plan the buy within timelines to match the standard/given RM I/H dates & the delivery date, maximizing plant capacity & efficiency, check on embellishment constrains, share sales order line-item wise RM needed dates within the agreed timelines and send the updated Factory Summary report (loading status) after planning the buy. 
  •  Allocate capacities for special/SLT programs & plan updated projections weekly and follow up on order confirmations with relevant capacity planner while advise the capacity status after planning updated projections.
  • Plan confirmed orders based on the raw material, sample approval status and customer required deliver, prepare and communicate any required action plans/crashing lead times to relevant parties to achieve the set plan, check and adjust if there are any embellishment constrains discussing with relevant embellishment planners while implement mechanisms to monitor adherence to capacity plan and facilitate optimization of production efficiencies.
  • Conduct weekly production review meeting with plant representatives and update the production plan based on the actual productions, whilst initiating action plans, plan revisions for possible delivery delays/ production advances, and circulate the updated production plan to relevant parties. 
  • Provide information to internal parties & higher management to facilitate the decision making while prepare weekly sales order line-item wise cutting plans, based on following factors and ensure the plan is aligned to weekly sewing & embellishment plans of the factory.
  • Prepare supporting plans for the production plan and cut plan in order to facilitate the cutting/ production processes.
  • Participate the weekly merchandising meeting with relevant sourcing representative & get required details for the section of modules of a plant.
  • Follow up on RM requirement, RM Transfers from Expo and RM reports & Pilot feedback in order to ensure that same are in place for the accurate and timely achievement of the cut plan. 
  • Check RM in-house status against committed in-house dates and coordinate with Merchants, in case if any delays whilst, identifying possible action plans in order avoid any negative impact on production.

KNOWLEDGE AND SKILLS 

 

  • Degree in Engineering or Physical Science or Statistics or Computer Science. 
  • 1-2 years of relevant work experience in a similar field would be an added advantage.
  • Good analytical skills. 

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